Our belief is that great companies are built on a great employee experience, which is why we created the first HR platform employees love to use. Namely was founded in 2012 to create an HR platform as intuitive as social media, but powerful enough to support the complexity of today's workforce. * Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink) * Fluency in Scala or Python and at least one other server-side programming languages (e.g. * 2+ years of experience building data frameworks for unit testing, data lineage tracking, and automation * 6+ years of experience building data pipelines * Bachelor's or Master's degree in Computer Science, Information Systems, Operations Research, or related field required * Provide mentorship to fellow team members * Build processes for topnotch security, performance, reliability, and accuracy * Extract, transform, and load complex data into the data warehouse using cutting-edge technologies * Manage numerous projects in an ever-changing work environment * Enhance automation, operation, and expansion of real-time and batch data environment * Translate user requirements for reporting and analysis into actionable deliverables * Build our next generation data warehouse You'll have the chance to work in an open and collaborative environment, receive hands-on mentorship and have ample opportunities to grow and accelerate your career! You'll be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. Help us scale our business to meet the needs of our growing customer base and develop new products on the Namely platform. * Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performanceĪs a Staff Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for the Namely product. * Defining streaming event data feeds required for real-time analytics and reporting * Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds We've built a strong data engineering team to date, but have a lot of work ahead of us, including: At Namely, we are problem solvers, self-starters, and obsessed with creating the best experience for our clients.ĭo you have a passion for building data architectures that enable smooth and seamless product experiences? Are you an all-around data enthusiast with a knack for ETL? At Namely, we're hiring a Staff Data Engineer to help build and optimize the foundational architecture of our product's data. People are at the center of everything we do, and we believe every company and employee deserves a great workplace, supported by innovative HR technology. We're an HR, payroll, and benefits platform that provides the technology, data, and support that HR professionals need and employees love to use. Namely's mission is to help mid-sized companies build a better workplace. Namely may also be known as or be related to Namely, Namely Inc and Namely, Inc.Senior Data Engineer at Namely (View all jobs) The data presented on this page does not represent the view of Namely and its employees or that of Zippia. None of the information on this page has been provided or approved by Namely. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. The employee data is based on information from people who have self-reported their past or current employments at Namely. Zippia gives an in-depth look into the details of Namely, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Namely.
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