Who We Are

Groundspeed Analytics (“Groundspeed”) is one of the fastest-growing insurtech companies globally. Driven by innovative artificial intelligence (AI) solutions, Groundspeed is disrupting the $300 billion commercial insurance industry. Our clients include top insurance carriers and brokers such as Travelers, Aon, Liberty Mutual, The Hartford, Swiss Re, and others. 

Groundspeed is recognized by industry analysts as a leader and was recently named to the 250 Top FinTech startups in 2020 by CB Insights and the Insurtech Hot 100. Headquartered in Ann Arbor, Groundspeed’s team is distributed across more than 10 locations in the US, including San Francisco, Denver, Chicago, and Atlanta.

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 schema design, dimensional data modeling, and large-scale data warehousing architecture
• Expertise in building data pipelines through efficient ETL design, implementation, and maintenance
• 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.

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