Senior Data Engineer – Energy Storage Platform (Remote)

Spearmint Energy; Miami (FL); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Spearmint Energy is seeking a Senior Data Engineer to own and evolve the data platform, pipelines, and analytics serving market research and operations. Based in Miami, you will work on AWS, Snowflake, Airflow, and Python to design scalable data architectures and reliable data ingestion.

You will partner with the Research team and Engineering Manager to set standards, implement robust testing, and optimize performance and cost while advancing clean energy analytics across the business.

Qualifications

• 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: clustering, incremental loading, query profiling, cost control.
• Strong experience with Airflow or comparable orchestrator in production.
• Working knowledge of AWS for routine DevOps on your own services.
• Demonstrated ownership of data modeling and transformation standards.
• Passion for clean energy.

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.

Skills

Python

SQL

Airflow

Snowflake

AWS

Data modeling

Education

BS degree in a technical field

Tools

dbt

CloudFormation

CDK

Job description

Spearmint Energy is seeking a Senior Data Engineer to own and evolve the data platform, pipelines, and analytics serving market research and operations. Based in Miami, you will work on AWS, Snowflake, Airflow, and Python to design scalable data architectures and reliable data ingestion.

You will partner with the Research team and Engineering Manager to set standards, implement robust testing, and optimize performance and cost while advancing clean energy analytics across the business.