Senior Analytics Engineer
Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form!
In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. Role Description The Data Platform team is responsible for building and maintaining common, cloud-based software and data infrastructure used across the company. This includes everything from our Snowflake data warehouse, to the K8s (EKS) clusters used to run our software, to the streaming platform that processes telemetry data from our product in the field. The Analytics Engineering function sits within the Data Platform team, and is responsible for transforming, enriching, and curating trusted datasets that are used across the organization. This role will work closely with lab, site software, and field operations teams to generate insights and expedite cycles of learning through data. What You'll Do- Build, review, and optimize data models/transformations in our data platform using tools like dbt, Apache Spark, or Delta Live Tables
- Work with our partner teams across Form to define and codify key product performance metrics
- Manage how data stores interact with analytical tools including Grafana, Hex, JMP, and Sigma. This may include managing these environments and providing support to users
- Work closely with other Software teams to ensure that data are consistent across sources upstream and data models. This will be in an environment where schema migrations are frequent for existing data sources, and new sources are regularly introduced.
- Help to build a strong data culture at Form
- Act as a collaborative member of a distributed software engineering team
- Minimum 7 years of professional experience as an analytics engineer, data engineer, data scientist, or other data professional
- Strong SQL and Python skills; experience working with dbt and Apache Spark desired
- Experience working with OLAP and time series databases like Snowflake, Databricks DBSQL, Clickhouse, and/or InfluxDB
- Experience using BI and data visualization tools like Sigma, Grafana, Tableau, or Superset
- Solid understanding of git and version control principles
- Working knowledge of electrochemistry and/or electrical systems is highly desired but not required
- Curiosity, creativity, and tenacity when it comes to problem solving
Compensation Range: $111.9K - $160.8K
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