Spearmint Energy

Compensation

Full Description

Role: Senior Data Engineer Location: Miami, FL (4 days In-Office, 1 day Remote) Apply: www.spearmintenergy.com / joinus@spearmintenergy.com Who We Are Spearmint Energy is an integrated energy infrastructure platform focused on developing, owning, operating, and optimizing battery energy storage systems ("BESS") to reduce grid volatility, provide system stability for new large loads, and increase system resiliency. Spearmint currently operates 350 MW/700 MWh in ERCOT with an additional 300 MW/600 MWh under construction and has projects under development throughout the United States. Headquartered in Florida, with an additional office in Minnesota, Spearmint Energy is guided by strong values rooted in people, partnerships, and the planet. For more information, please visit: https://www.spearmintenergy.com/ What You Will Do We are looking for an experienced Data Engineer to join our small but growing team and raise the level of how we acquire, transform, and serve data. You will own our data platform and the pipelines that feed market research and operations. We run on a solid foundation of Snowflake, AWS, Airflow, and Python. You will own the architecture and standards that scale with it. This professional will be a member of the Research team and report directly to the Engineering Manager. Core Responsibilities: Design, build, and operate our data platform on AWS and Snowflake. Ingestion from market, telemetry, and vendor sources (Airflow, Python) Layered transformations into trusted, business-ready tables Idempotent, replayable pipelines with tests and alerting Warehouse performance and cost Set the engineering standards for our data work. Architecture and transformation framework, such as dbt Conventions for timestamps, naming, typing, late-arriving data Backfills, schema evolution, lineage, data quality Documentation, code review, CI/CD, mentoring Who You Are BS degree in a technical field 5+ years building production data pipelines Strong experience with Python and SQL, beyond scripts and notebooks Strong Snowflake depth or equivalent: clustering, incremental loading, query profiling, cost control Strong experience with Airflow or a comparable orchestrator in production Working knowledge of AWS, enough for routine DevOps on your own services Demonstrated ownership of data modeling and transformation standards A track record of raising standards inside an existing codebase Passion for clean energy Nice To Haves Familiarity with power system concepts (load, generation, transmission, MW vs. MWh), energy markets, and energy storage Experience with dbt or a comparable transformation framework Experience with high-frequency time-series data Comfortable owning infrastructure as code (CloudFormation, CDK) Deep AWS expertise beyond routine DevOps, especially networking and hybrid connectivity Must have work authorization to work in the United States