Senior Data Engineer

Role: Senior Data Engineer

Location: Miami, FL (4 days In-Office, 1 day Remote)

Apply: www.spearmintenergy.com / [email protected]

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