Numbrs Personal Finance AG is a technology company. Our product is Numbrs, a multibanking application available for&nbsp;<a href="https://apps.apple.com/de/app/centralway-numbrs-mobile-banking/id652918824?l=de" rel="nofollow">iOS</a>&nbsp;and&nbsp;<a href="https://play.google.com/store/apps/details?id=com.centralway.numbrs&amp;hl=de_de" rel="nofollow">Android</a>. Numbrs is one of the most widely used banking apps in Germany and was recently launched in the UK. Numbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want. We are a team of professional, hard-working, supportive and entrepreneurial individuals with a passion for execution. We&nbsp;are seeking professionals who can thrive in a fast-paced environment where attention to detail, excellent communication skills, and a talent for delivering out-of-the-box ideas are essential. Do you want to have a real impact on the future of the financial industry? Join Numbrs. Job Description You will be a part of the Data Science team responsible for designing, developing and supporting big data-driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling. The team is responsible to gain new insights which result in the development of product&rsquo;s features to improve user engagement and experience. Key Qualifications <ul> <li>a Bachelor&rsquo;s or higher degree in the technical field of study or equivalent practical experience</li> <li>a minimum of 5 years of professional experience in Machine Learning</li> <li>experience in pattern recognition, predictive modelling, and statistical analysis</li> <li>strong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLP</li> <li>experience in designing Machine Learning systems at scale</li> <li>experience with Big Data technologies such as Kafka, Spark, and Cassandra</li> <li>fluent with a JVM programming language, ideally Scala.</li> <li>comfort working in a dynamic, research-oriented team with several ongoing concurrent projects</li> <li>excellent troubleshooting and creative problem-solving abilities</li> <li>excellent written and oral communication in English and interpersonal skills</li> </ul> Location: Home office from your domicile

neural-network

apache-kafka

apache-spark

Machine Learning Engineer

Our development teams work on projects adding directly to the O&rsquo;Reilly Auto Parts bottom line and we are looking for exceptional developers to help us succeed! Some of the tools we use to implement our projects are Java, JavaScript &amp; CSS, PostgreSQL, Eclipse, IntelliJ, SublimeText, Axure, &amp; Balsamiq for development. We also utilize Atlassian tools such as Jira, Confluence, Fisheye, &amp; Crucible for developer productivity. What we look for in our developers: <ul> <li>Love solving complex problems related to serving our customers better &ndash; both internal &amp; external customers</li> <li>Enjoy working with teams</li> <li>Senior level experience with Java, HTML5, CSS/preprocessers, and JavaScript/JS Frameworks</li> <li>Experience with Grunt, Gulp, &amp; GIT is a plus</li> <li>Experience with enterprise search technology (SOLR, Lucene, Elasticsearch)</li> <li>Ability &amp; desire to interface with business stakeholders and users to define and refine requirements when appropriate</li> </ul> About our team: <ul> <li>We create and customize 90% of our applications in house</li> <li>We are a &ldquo;work family&rdquo;! We have fun together and support each other</li> <li>We respect a healthy work-life balance</li> <li>The team keeps open communication through different outlets &ndash; video conferencing, team messaging applications, and daily scrums/stand-up meetings</li> <li>Our managers really value collaboration between team members and encourage developers to bring forth creative problem-solving ideas from both a technical and functional aspect</li> </ul> Growth within our teams at O&rsquo;Reilly Auto Parts: <ul> <li>We have several career paths, whether you want to be a manager, project manager, or stay technical &ndash; there&rsquo;s a documented growth plan to help you follow the path you choose</li> <li>We want to grow our people &ndash; we help to make you better by providing training for both technical and professional development</li> <li>We look to promote from within &ndash; O&rsquo;Reilly is diligent to promote from within our organization with qualified team members</li> </ul>

java

solr

lucene

elasticsearch

SOLR Engineer

We are seeking a Senior Data Engineer to help Knock build a comprehensive data platform that offers a diverse property database to internal and external users. This person will be excited to dive into the onboarding of new data, while data analysis is your key strength. We are looking for someone who is passionate about creating great products to help millions of people buy or sell a home without risk, stress, and uncertainty.&nbsp; This is a unique opportunity to work on both data engineering and software development. At Knock, we have fun, we move fast, we celebrate &amp; support our fellow teammates, and we live by our POPSICLE values. As a Senior Data Engineer you will:&nbsp; <ul> <li>Utilize Apache Spark to build data pipelines and aggregate data.</li> <li>Design data schemas and optimize internal data warehouses, augmenting data from multiple sources.</li> <li>Design, build, and maintain REST APIs to serve data to customers</li> <li>Cross-functional collaboration with our Data Science and Machine Learning teams.&nbsp;</li> <li>Understand the data that powers our applications, and be able to propose appropriate data models for new features.</li> <li>Build new ETL jobs from scratch, as well as maintain existing jobs.</li> <li>Be committed to good engineering practice of testing, logging, alerting and deployment processes.</li> <li>Monitor and troubleshoot operational or data issues in the data pipelines.</li> <li>Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.</li> </ul> We&rsquo;re looking for Knockstars who:&nbsp; <ul> <li>Expertise using Apache Spark with Scala</li> <li>Expertise in developing APIs to serve data produced by ETL jobs</li> <li>We also use the following: Go, Rust, Python</li> <li>A strong desire to work at a rapidly growing startup and make it a success, and are comfortable learning new technologies and tools</li> <li>AWS data products such as EMR, Athena, S3, DynamoDB, Kinesis, Lambda, and CloudWatch.</li> <li>Strong SQL knowledge (MySQL or Postgres), familiarity with techniques to identify slow queries and debugging</li> <li>A strong customer-first mindset and data-driven approach to your work</li> <li>Believe in creating diverse, equitable, and inclusive practices and programs that will further Knock&rsquo;s commitment to making an impact, learning, putting people first, being open, and courageous.</li> <li>Have proven success working 100% remote in prior positions &amp; are experienced working with a distributed, national team.&nbsp;</li> <li>We encourage you to apply even if you don&rsquo;t have every listed requirement.&nbsp;</li> </ul> What We can Offer You: <ul> <li>Equitable compensation offered based on your accomplishments, experience, and what market data shows in your geographic region.</li> <li>Offering full medical, dental, vision benefits, flexible work schedules, unlimited vacation (2 weeks mandatory), 401k, paid parental leave, and many amazing benefits to impact our people&rsquo;s lives.&nbsp;</li> <li>Flexibility to live and work anywhere within the continental United States.&nbsp;</li> <li>This is a 100% remote, work from home, full-time career at Knock.</li> </ul> We are proud to be a distributed company from our founding with employees in 21 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate team that is disrupting the status quo. Knock, and its subsidiaries, are committed to creating a diverse, inclusive, and equitable environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Please no recruitment firm or agency inquiries, you will not receive a reply from us. This position is based in the continental United States.

apache

rust

scala

Senior Data Engineer

As part of the Avail Data Engineering team, you will be working to manage our ever-growing collection of vehicle sharing and usage data. We support our business analytics and marketing teams by performing data integration and ETL between an increasingly diverse set of data sources and our data warehouse. We will also build big-data applications leveraging techniques from operations research and machine learning to directly enrich, personalize and optimize the Avail car-sharing product. This is a green field opportunity to contribute to the design and implementation of a flexible, scalable data framework for an exciting new sector of the sharing economy.&nbsp; This position can be based in either of two Avail HQ offices at San Francisco or Chicago, or fully remote with regular travel to SF HQ. Key Responsibilities <ul> <li>Design and implement scalable data workflows and pipelines, and integrate diverse data sources and sinks</li> <li>Design appropriate database schemas and optimize database deployment architectures for analytics query loads</li> <li>Implement data transforms and organization for various data stores (data lakes and warehouses)</li> <li>Design and implement new platform architectures for building and serving machine learning models</li> <li>Work with the platform operations team to monitor and maintain live production systems</li> <li>Provide tooling and automation for infrastructure, continuous testing, and continuous deploy of data systems&nbsp;</li> </ul> Job Qualifications <ul> <li>Mid-to-senior&nbsp;levels considered. Candidates must demonstrate experience-appropriate track records of successful technical execution of large-scale data projects.</li> <li>Software Engineering &ndash; Experience in software engineering and SDLC (our stack may include Python,&nbsp;Java and Scala). Must consider code readability, reuse, and extensibility a priority when developing solutions.</li> <li>Big Data Engineering &ndash; Experience in building scalable data pipelines involving machine learning, optimization or prediction</li> <li>Big Data Devops &ndash; Experience in performing operations and automation of various big-data ecosystems in production environments on AWS or a related cloud service</li> <li>Ability to thrive in a fast paced, cross regional, diverse, and dynamic work environment</li> </ul> Nice to have: <ul> <li>Experience with AWS data stack &ndash; Redshift, Athena, EMR, DynamoDB, Glue, S3</li> <li>Experience with establishing well-organized data lakes</li> <li>Experience setting up and optimizing data warehouses</li> <li>Background in data modeling and performance tuning in relational and no-SQL databases</li> <li>Experience with data practices (security, data management and governance)</li> <li>Experience in operations research, machine learning or optimization</li> </ul> Avail is a subsidiary of Allstate. About working at Allstate: Allstate&nbsp;generally&nbsp;does not sponsor&nbsp;individuals for&nbsp;employment-based&nbsp;visas&nbsp;for this position. The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands&reg;. As a Fortune 100 company and industry leader, we provide a competitive salary &ndash; but that&rsquo;s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you&rsquo;ll have access to a wide variety of programs to help you balance your work and personal life &mdash; including a generous paid time off policy.

airflow

amazon-redshift

terraform

Are you at your most vibrant when you&rsquo;ve successfully distilled data into its simplest, most meaningful form? ThoughtWorks is a global software consultancy with an aim to create a positive impact on the world through technology. Our community of technologists thinks disruptively to deliver pragmatic solutions for our clients' most complex challenges. We are curious minds who come together as collaborative and inclusive teams to push boundaries, free to be ourselves and make our mark in tech. Our developers have been contributing code to major organizations and open source projects for over 25 years. They&rsquo;ve also been writing books, speaking at conferences and helping push software development forward, changing companies and even industries along the way. We passionately believe that software quality is driven by open communication, review and collaboration. That&rsquo;s why we&rsquo;re such vehement supporters of open source and have made significant contributions to open source tools for testing, continuous delivery (GoCD), continuous integration (CruiseControl), machine learning and healthcare.&nbsp; As consultants, we <a href="https://www.thoughtworks.com/careers/hub/consultant-life" rel="nofollow">work with our clients</a> to ensure we&rsquo;re evolving their technology and empowering adaptive mindsets to meet their business goals. You could influence the digital strategy of a retail giant, build a bold new mobile application for a bank or redesign platforms using event sourcing and intelligent data pipelines. You will learn to use the latest Lean and Agile thinking, create pragmatic solutions to solve mission-critical problems and challenge yourself every day.&nbsp; Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution. You&rsquo;ll spend time on the following: <ul> <li>You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems</li> <li>You will partner with teammates to create complex data processing pipelines in order to solve our clients&rsquo; most ambitious challenges&nbsp;</li> <li>You will collaborate with Data Scientists in order to design scalable implementations of their models</li> <li>You will pair to write clean and iterative code based on TDD</li> <li>Leverage various continuous delivery practices to deploy, support and operate data pipelines</li> <li>Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available</li> <li>Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions</li> <li>Create data models and speak to the tradeoffs of different modeling approaches</li> <li>On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product</li> <li>Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process&nbsp;</li> </ul> Here&rsquo;s what we&rsquo;re looking for: <ul> <li>You are equally happy coding and leading a team to implement a solution</li> <li>You have a track record of innovation and expertise in Data Engineering</li> <li>You&rsquo;re passionate about craftsmanship and have applied your expertise across a range of industries and organizations</li> <li>You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop</li> <li>You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting</li> <li>Hands on experience in MapR, Cloudera, Hortonworks&nbsp; and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions</li> <li>You are comfortable taking data-driven approaches and applying data security strategy to solve business problems&nbsp;</li> <li>You&rsquo;re genuinely excited about data infrastructure and operations with a familiarity working in cloud environments</li> <li>Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems</li> <li>Advocate your data engineering expertise to the broader tech community outside of ThoughtWorks, speaking at conferences and acting as a mentor for more junior-level data engineers</li> <li>Assure effective collaboration between ThoughtWorks&rsquo; and the client&rsquo;s teams, encouraging open communication and advocating for shared outcomes</li> </ul> A few important things to know: While we&rsquo;ve traditionally been a traveling consultancy, travel is not required for this role at the moment. We anticipate the need for travel to our client locations in the future when it&rsquo;s deemed safe. Candidates must possess work authorization that does not require H-1B&nbsp;visa&nbsp;sponsorship by ThoughtWorks or dependent EAD. Not quite ready to apply? Or maybe this isn&rsquo;t the right role for you? That&rsquo;s OK, you can stay in touch with&nbsp;<a href="https://www.thoughtworks.com/careers/access?utm_source=apply-jobs&amp;utm_medium=jd&amp;utm_campaign=access-thoughtworks" rel="nofollow">AccessThoughtWorks</a>, our learning community (click "contact me about recruitment opportunities"&nbsp;to hear about jobs in the future). It is the policy of ThoughtWorks, Inc. to provide a work environment free of discrimination. The Company will take affirmative action to ensure applicants and ThoughtWorks employees are treated without regard to race, color, religion, sex/gender, national origin, ethnic origin, veteran or military status, family or marital status, disability, genetic information, age, sexual orientation,&nbsp;gender expression&nbsp;or gender identity. This also includes individuals who are perceived to have any of the aforementioned attributes. ThoughtWorks will adhere to all federal, state, and municipal laws and regulations governing employment.

hadoop

bigdata

python

spark

Lead Data Engineer

Job description Bombora provides a global B2B intent platform powered by the world&rsquo;s largest publisher data co-op. Our data allows sales teams to base their actions on the knowledge of which companies are in-market for their products, and empowers marketing teams to practice #SustainableMarketing. We process billions of content interactions daily to detect intent signals from companies around the world. To do this, we use modern distributed processing and machine learning technologies, including Spark, Dataflow/Beam, Airflow, PyTorch, and BigQuery. This is a full-time position with competitive benefits and compensation, preferably based in our Reno, NV office - though we are open to remote candidates as long as you are willing to travel to Reno occasionally. What you will do You will join our Engineering team, working alongside our data engineers, data scientists and ML engineers to support Bombora R&amp;D&rsquo;s mission to design, develop and maintain our world class B2B DaaS products, leveraging machine intelligence and web-content consumption data at-scale. You will do this by: <ul> <li>Creating and refining bounded (batch) and unbounded (streaming) ETL and ML data pipelines that comprise our production systems</li> <li>Advancing development and integration of our major analytics and ML codebases using modern and rigorous software engineering principles</li> <li>Helping to support and maintain our live production ETL and ML pipelines and systems</li> <li>Mentoring and advancing the development of your colleagues</li> <li>Having fun in an environment of collaboration, curiosity, and experimentation</li> </ul> Specific Responsibilities: <ul> <li>Develop applications, libraries and workflows with Python, Java, Apache Spark, Apache Beam, and Apache Airflow</li> <li>Design and implement systems that run at scale on Google&rsquo;s Dataproc, Dataflow, Kubernetes Engine, Pub/Sub, and BigQuery platforms.</li> <li>Learn, design and implement algorithms and machine learning operations, at-scale, using SciPy, PySpark, Spark Streaming, and MLBase libraries.</li> <li>Learn and advance existing data models for our events, profiles and other datasets</li> <li>Employ test-driven development, performance benchmarking, rapid release schedule, and continuous integration.</li> <li>Participate in daily stand-ups, story planning, reviews, retrospectives, and the occasional outings to nearby local cuisine and / or culture.</li> </ul> About you: - Your background: <ul> <li>Education: degree in computer science, physics, electrical engineering, applied mathematics, or equivalent experience.</li> <li>Work experience: 3+ years of real-world development experience and 2+ years of experience with cloud and/or big-data platforms, GCP experience preferred.</li> <li>Language Fluency: In Java / Python (at least 2 years of experience on commercial projects) and perhaps a few other languages.</li> <li>Data wrangler: Driven by data and the ability to leverage data to understand systems.</li> <li>Impactful and effective: Live and breathe TDD and agile methodologies in software to great impact</li> <li>Character: Creativity, pragmatism, curiosity, and a good sense of humor</li> </ul> - Working knowledge of: <ul> <li>Algorithms / Data Structures: Design patterns, efficiency, using the right abstraction for the task.</li> <li>Functional Programming: Filters and maps, currying and partial evaluation, group-by and reduce-by</li> <li>OOP: Object paradigms to build components, when needed.</li> <li>Databases: Familiar with both relational (MySQL, PostgreSQL) and NoSQL (HBase, Cassandra, etc).</li> <li>Data Processing at scale: Distributed computations, map-reduce paradigm, and streaming processing, Spark experience is helpful.</li> <li>Build and release toolchains: Experience deploying projects in both Python (conda, setuptools, etc.) and Java (Maven).</li> <li>Git: Comfortable working with git (resolving conflicts, merging, branching, etc).</li> </ul>

kubernetes

google-bigquery

Software Engineer III

X-Mode Social, Inc. is looking for a full-time Back-End Engineer (Spark Developer) to work on X-Mode's data platform and join our rapidly growing team. We are looking for someone who is excited to solve complex location challenges and ready to contribute significantly to new feature development on our AWS multi-petabyte data pipeline. This position is full-time remote (anywhere in the U.S.). Please note that at this time, X-Mode is not sponsoring visas for any positions. WHAT YOU'LL DO: <ul> <li>Use big data technologies, processing frameworks, and platforms to solve complex problems related to location</li> <li>Build, improve, and maintain data pipelines that ingest billions of data points on a daily basis</li> <li>Efficiently query data and provide data sets to help Sales and Client Success teams' with any data evaluation requests</li> <li>Ensure high data quality through analysis, testing, and usage of machine learning algorithms</li> </ul> WHO YOU ARE: <ul> <li>1+ years of Spark and Scala experience</li> <li>Experience working with very large databases and batch processing datasets with hundreds of millions of records</li> <li>Experience with Hadoop ecosystem, e.g. Spark, Hive, or Presto/Athena</li> <li>Experience with SQL based data architectures</li> <li>1+ years Linux experience</li> <li>1 years working with cloud services,&nbsp; ideally in AWS (EMR, Cloudwatch, EC2, Athena, Hive, etc)</li> <li>Self-motivated learner who is willing to self-teach and can maintain a team-centered outlook</li> <li>Self-directed and comfortable working on a remote team&nbsp;</li> <li>Strong curiosity about new technologies and a desire to always use the best tools for the job</li> <li>Experience at a startup or comfortable working in highly dynamic/ fast-paced environment</li> <li>BONUS: GIS/Geospatial tools/analysis and any past experience with geolocation data</li> </ul> WHAT WE OFFER: <ul> <li>Cool people, solving cool problems.</li> <li>Competitive Salary</li> <li>Medical, Dental and Vision&nbsp;</li> <li>Generous PTO policy &amp; paid holidays</li> <li>We value your input. This is a chance to get in on the "ground floor" of a growing company</li> </ul> At X-Mode, we&rsquo;re excited about building a diverse team and creating an inclusive environment where everyone can thrive, and we encourage all applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status to apply

amazon-web-services

amazon-emr

amazon-ec2

Back-End Engineer

X-Mode is looking for an experienced engineering manager to lead and manage a team focused on building X-Mode&rsquo;s big data platform and pipelines. You will lead a team of highly skilled engineers to build production data pipelines capable of delivering the terabytes of geospatial data that power meaningful solutions for organizations of all types. You will be responsible for mentoring and developing this team, and for influencing the future of the X-Mode&rsquo;s Data Platform. This position is full-time remote (anywhere in the U.S.). Please note that at this time, X-Mode is not sponsoring visas for any positions. WHAT YOU'LL DO: <ul> <li>Own execution and guide roadmap for X-Mode&rsquo;s data ingestion pipeline and delivery platform</li> <li>Establish processes to ensure timely delivery of high quality data with low latency.</li> <li>Provide mentorship and guidance to direct reports who are distributed across multiple geographies.</li> <li>Influence the future technology choices of the data platform.</li> <li>Drive technical projects to success against timelines and budget</li> <li>Identify opportunities for new feature development and end to end system optimizations.</li> <li>Recruit world-class engineering talent, define clear career paths, and evolve the organizational structure of team as it grows&nbsp;</li> <li>Foster a culture of collaboration, accountability, and inclusivity that helps maximize productivity and professional growth for engineers.</li> <li>Remove/solve blockers for your team on a wide range of technical problems</li> </ul> WHO YOU ARE: <ul> <li>8+ years building complex data pipelines and big data management systems</li> <li>5+ years leading and growing teams of highly skilled software engineers&nbsp;</li> <li>Significant experience leading geographically distributed teams across multiple timezones</li> <li>Strong interpersonal and communication skills for collaboration with partner teams, product management and executives</li> <li>Production experience with our back-end tech stack on the pipeline, including the Hadoop ecosystem, e.g. AWS cloud services, Spark, Hive, Presto; Scala (and/or Functional Programming/ JVM languages);&nbsp; SQL-based data architectures; Linux;&nbsp;</li> <li>Experience with Agile methodologies and Atlassian tools&nbsp; (Confluence, Bitbucket, and JIRA)</li> <li>Have proven success in delivering highly reliable and scalable software systems</li> <li>Strong sense of empathy for your team and maintain a deep respect for their happiness and careers</li> <li>Enjoys and thrives at working in fast-paced and dynamic environment and building teams from the ground up</li> <li>Any past experience with geolocation data is a plus</li> </ul> WHAT WE OFFER: <ul> <li>Cool people, solving cool problems.</li> <li>Competitive Salary</li> <li>Medical, Dental and Vision</li> <li>Generous PTO policy &amp; paid holidays</li> <li>We value your input. This is a chance to get in on the "ground floor" of a growing company</li> </ul> At X-Mode, we&rsquo;re excited about building a diverse team and creating an inclusive environment where everyone can thrive, and we encourage all applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status to apply.

Engineering Manager

Blue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains. Your primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development. Major technologies involved include AWS (Lambda, Glue, CloudFormation, EMR), Python 3, Spark, Pandas. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering. Core Responsibilities &amp; Skills <ul> <li>Architecting, building and maintaining modern, scalable data architectures on AWS</li> <li>Building resilient production ETL pipelines using workflow orchestration tools such as Airflow, Prefect, AWS Step Functions</li> <li>Deploying and managing infrastructure with automation to support data pipelines.&nbsp;</li> <li>Deploying and scaling machine learning models in production.&nbsp;</li> <li>Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.</li> </ul> Qualifications <ul> <li>BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.</li> <li>Advanced experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.</li> <li>Experience in Amazon AWS, DevOps and Automation (CloudFormation)</li> <li>AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.</li> <li>Enjoys collaborating with other engineers on architecture and sharing designs with the team&nbsp;</li> <li>Excellent verbal and written English communication.</li> <li>Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment</li> </ul>

Data Engineer

Numbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want. Join our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs. Responsibilities You will be a part of a small agile team that is responsible for the design and development of our machine learning systems. You'll&nbsp;work on learning-based solutions and develop machine learning applications according to requirements. You enjoy learning new things and are passionate about developing new features, using cutting-edge technology and contributing to overall system design and architecture. You are a great teammate who thrives in a dynamic environment with rapidly changing priorities. Key Qualifications <ul> <li>a Bachelor's or higher degree in technical field of study or equivalent practical experience</li> <li>a minimum of 5 years of professional experience in software development and micro service based architecture</li> <li>previous experience or at least exposure to Machine Learning</li> <li>experience with Big Data technologies such as Kafka, Spark, and Cassandra</li> <li>strong hands-on experience and fluency with Java or Scala</li> <li>experience with software engineering best practices, coding standards, code reviews, testing and operations</li> <li>excellent written and oral communication in English and interpersonal skills</li> </ul> Ideally, candidates will also have <ul> <li> experience with CI/CD toolchain products like Jira, Stash, Git, and Jenkins </li> <li> fluent with functional, imperative and object-&shy;oriented languages; </li> <li> experience with C++, or Golang is a plus </li> </ul> Location: Home office from your domicile

cassandra

machine-learning

Backend Engineer w/ Machine Learning

The perks: <ul> <li>Remote working</li> <li>An integrated tech community with diverse backgrounds and talents in medicine, biomedical informatics, quantitative investment, machine learning, and language processing.</li> <li>We are a communal and integrated tech team so we can learn from each other and deliver technology seamlessly that solve multifaceted problems.</li> <li>Freedom to use your resourcefulness, ingenuity to solve meaningful problems without red tape.</li> <li>Blessed with deeply passionate clients and seed investors that are partnering with us in make healthcare data-driven.</li> <li>Top tier medical,&nbsp; dental, and vision insurance</li> <li>Gym discount, commute perk, 401k</li> </ul> The role: <ul> <li>We are adding multiple healthcare clients, and therefore looking for additional talent who are sensitive to client needs and can bring alive a suite of systems to improve care efficiency of CKD patients.</li> <li>Help with data processing, analytics, and quality user experience to support kidney care.</li> <li>Design and build multithreaded, distributed, performant applications and platforms that process complex data in real-time to provide better care to patients.</li> <li>Utilize exciting open source technologies to design and develop secure and scalable products.</li> <li>Build pipelines for data ingestion, processing, storage, and access.</li> <li>Maintain required infrastructure (VM's, containers, cluster management tools, networking) to automate deployment pipeline.</li> </ul> Looking for: <ul> <li>Excitement to have real ML systems deployed that really make a difference in people's lives.</li> <li>Commitment&nbsp; and support with seamless delivery of scalable applications from design to patient care.&nbsp;</li> <li>4+ years experience as an engineer, developer, programmer in a production software environment.</li> <li>Dependable, cooperative and responsible person who can collaborate well in a team environment.</li> <li>Independent, proactive, and can enjoy the process of creating order from uncertainty.</li> <li>Experience implementing web service technologies with HTTP, JSON, REST.</li> <li>Experience with databases: Postgres, Mongo, SQL, NoSQL.</li> <li>Experience building responsive, user facing applications using JavaScript, React, Vue and GraphQL.</li> <li>Experience in a cloud environments i.e. AWS, Azure, GCE, Kubernetes.</li> <li>Other value-add skills:&nbsp; Database architecture, Apache Spark.</li> <li>Excitement&nbsp; to be a part of our growth story&nbsp; going from Pre-Series A to Series A.</li> </ul> Location:&nbsp; <ul> <li>While pulseData is based in New York, the location of this position is flexible. If the candidate is based remotely it will be expected that they travel to New York at least once a month once conditions are safe for business travel to resume.</li> </ul>

mongo

vue.js

Senior Full-Stack Software Engineer

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Spark AR is the cross-platform stack that powers a wide range of AR experiences (e.g. face masks and virtual objects in the world) across various surfaces in the Facebook ecosystem - from mobile apps (FB/IG/Messenger), standalone devices (Portal), to future wearables. Our team is under Spark AR focused on building universal and scalable backend services. As a Software Engineer, you will build infrastructure and platform to support multiple AR verticals. You will have the chance to work with both product and research teams, integrate, optimize and scale cutting-edge AR innovations to end users. <ul><li>Architect backend systems</li><li>Design and implement new features to accelerate innovative AR experiences</li><li>Design APIs that are integrated with product use cases</li><li>Platform-ize general infrastructure of AR experiences</li></ul> <ul><li>BS degree in Computer Science or related field. Or 5+ years relevant industry experience as the degree equivalence</li><li>4+ years experience of programming</li><li>Experience with web technologies and databases</li><li>Proven track record of software development, including shipping one or more products of using standard software development toolsets such as source control and continuous integration systems</li><li>Experience communicating and working across functions to drive solutions</li></ul> <ul><li>Experience with PHP, C++ and Python</li><li>Experience with discovery features such as search and ranking</li><li>Experience with building backend services or platform involving multimedia</li><li>Experience with building AR/VR products or infra from ideation to shipping</li></ul> Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

web-services

Software Engineer

Sonatype&rsquo;s mission is to enable organizations to better manage their <a href="https://vimeo.com/192531229" rel="nofollow">software supply chain</a>. &nbsp;We offer a series of products and services including the <a href="https://www.sonatype.com/nexus-repository-sonatype" rel="nofollow">Nexus Repository Manager</a> and <a href="https://www.sonatype.com/nexus-lifecycle" rel="nofollow">Nexus Lifecycle Manager</a>. We are a remote and talented product development group, and we work in small autonomous teams to create high-quality products. Thousands of organizations and millions of developers use our software. If you have a passion for challenging problems, software craftsmanship and having an impact, then Sonatype is the right place for you. We are expanding our Data team, responsible for unlocking insight from vast amounts of software component data, powering our suite of products enabling our customers from making informed and automated decisions in managing their software supply chain. As a Backend Engineer, you will lead or contribute to designing, development, and monitoring of systems and solutions for collecting, storing, processing, and&nbsp;analyzing&nbsp;large data sets.&nbsp; You will work in a team made up of Data Scientists and other Software Engineers. No one is going to tell you when to get up in the morning, or dole out a bunch of small tasks for you to do every single day. Members of Sonatype's Product organization have the internal drive and initiative to make the product vision a reality. Flow should be the predominate state of mind. Requirements: <ul> <li>Deep software engineering experience; we primarily use Java.</li> <li>Database and data manipulation skills working with relational or non-relational models.</li> <li>Strong ability to select and integrate appropriate tools, frameworks, systems to build great solutions.</li> <li>Deep curiosity for how things work and desire to make them better.</li> <li>Legally authorized to work (without sponsorship) in Canada, Colombia, or the United States of America and are currently residing in the corresponding country.</li> </ul> Nice To Haves: <ul> <li>Degree in Computer Science, Engineering, or another quantitative field.</li> <li>Knowledge and experience with non-relational databases (i.e., HBase, MongoDB, Cassandra).</li> <li>Knowledge and experience with large-scale data tools and techniques (i.e., MapReduce, Hadoop, Hive, Spark).</li> <li>Knowledge and experience with AWS Big Data services (i.e., EMR, ElasticSearch).</li> <li>Experience working in a highly distributed environment, using modern collaboration tools to facilitate team communication.</li> </ul> What We Offer: <ul> <li>The opportunity to be part of an incredible, high-growth company, working on a team of experienced colleagues</li> <li>Competitive salary package</li> <li>Medical/Dental/Vision benefits</li> <li>Business casual dress</li> <li>Flexible work schedules that ensure time for you to be you</li> <li>2019 Best Places to Work Washington Post and Washingtonian</li> <li>2019 Wealthfront Top Career Launch Company</li> <li>EY Entrepreneur of the Year 2019</li> <li>Fast Company Top 50 Companies for Innovators</li> <li>Glassdoor ranking of 4.9</li> <li>Come see why we've won all of these awards</li> </ul>

Remote apache spark Jobs

Browse remote apache spark jobs in December 2020