Software Engineer, Analytics Platform
About The Position
Gridmatic is seeking a startup-minded software engineer with strong data expertise to build the data systems that support its power trading, battery storage, renewable supply, and retail electricity businesses. The role includes designing core data models for trades, assets, renewable supply, and energy contracts; building pipelines for external market and settlement data; and automating related workflows. The engineer will help improve a data platform based on BigQuery, DBT, Flyte, and Kubernetes so engineers and analysts can ship changes quickly. The role also includes improving AI’s understanding of company data so people across the organization can get accurate answers to business questions. The position is suited to a software engineer experienced with data systems or a data engineer with strong software skills. Prior energy-market experience is not required; the person should be interested in learning the domain and collaborating across teams in an ambiguous startup environment.
Requirements
- Strong production Python and SQL skills.
- Experience building backend services and APIs.
- Strong data-modeling skills across relational databases and data warehouses.
- Experience building systems that handle messy real-world data, including late arrivals, corrections, and backfills.
- Understanding of how to scale datasets across long time horizons and many customers.
- Ability to thrive in an ambiguous startup environment and work across teams.
- Interest in learning about energy markets and trading; prior experience is not required.
- Extensive experience with data systems as a software engineer, or strong software skills as a data engineer.
Nice To Haves
- Experience building trading, billing, accounting, or other financial systems.
- Experience with orchestration tools such as Flyte, Airflow, Dagster, or Prefect.
- Experience with BigQuery, Postgres, and dbt.
- Experience with React for internal tools.
Responsibilities
- Design and build core data models for trades, assets, renewable supply, and energy contracts.
- Build pipelines to ingest data from financial exchanges and grid operators.
- Continuously improve the data platform based on BigQuery, DBT, Flyte, and Kubernetes.
- Improve AI’s understanding of company data to enable accurate self-service answers to business questions.
- Automate workflows related to the company’s data systems.
Benefits
- Continuing education opportunities.
- Flexible PTO.
- Medical, dental, and vision plans with competitive employer contributions.
- Pre-tax commuter benefits.
- $1,500 per year in nonprofit donation matching through Millie.
- Home office stipend.
- 401(k) contribution match up to 4%.
- Company-paid parental leave.
- Company-paid life insurance.
- Stock option loan program.
- Competitive equity.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
