Job description
Who We Are
Groundspeed is a fast-growing, fully-remote insurtech company funded by top venture firms like Insight Partners and Oak HC/FT. We’re helping the centuries-old, $800 billion commercial insurance industry transform inefficient processes. Our human-in-the-loop AI platform captures, structures, and delivers complete risk data to underwriters and business leaders — so they can make faster, smarter decisions.
Top insurers like Travelers, Liberty Mutual, and Swiss Re trust Groundspeed to help them win more business and operate more efficiently. We are recognized by industry analysts as an insurtech leader, and were recently named one of the Best Places to Work by Purpose Jobs. Historically headquartered in Ann Arbor, the Groundspeed team is now distributed across the U.S.
About the Role
We are looking for a creative, enthusiastic, and collaborative Data Engineer who doesn't shy away from hard problems. The Senior Data Engineer will contribute towards the design and development of Groundspeed’s Data Platform, helping to define data practices and mentor junior engineers. As a senior member of the team, you will have the opportunity to execute on complex data platform and data engineering initiatives, working with various big data cloud technologies and building relationships across Engineering, Product, Data Science, BI/Analytics, and Operations. It’s an exciting time to join the team and play a big role in developing the future of data at Groundspeed!
What You'll Do
- Data Infrastructure - Help design and implement our Data Platform from the ground up. Tooling and integrations for data ingestion, kappa or lambda architectures for stream and batch processing, monitoring, and more.
- Data Pipelines - build end-to-end ETL/LT pipelines to populate the Data Warehouse and empower downstream analytical data consumers
- Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for the various internal customers
- Leadership - Be a technical leader and mentor for junior engineers on the team
What We're Looking For
- BS degree in Computer Science or related technical field, or equivalent practical experience
- 5+ years proven work experience as a Data Engineer, working with at least one programming language (e.g. Scala, Python/PySpark) plus SQL expertise
- 5+ years experience developing data platform infrastructure
- Background working with distributed big data technologies such as Spark, Presto, Hive, Redshift etc.
- Experience with implementing microservice architectures, event based processing, and streaming pipelines
- Experience providing technical leadership and mentoring other engineers for best practices in the data engineering space
- Knowledge of agile software development and continuous integration / deployment principles
We are Committed to a Diverse Workforce
Groundspeed is committed to creating a diverse environment and is 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, nativity, neurodiversity, genetics, disability, age, or veteran status. For more information about Groundspeed, please visit www.groundspeed.com.
Groundspeed Analytics, Inc. is an E-Verify Employer.
Groundspeed Analytics, Inc. respects the privacy of your data. *If you are a resident of the State of California, please take the time to read our Candidate Privacy Notice, available here.
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