Data Engineer

Overview In this role you will build the data platform to support revenue, P&L, and renewable supply optimization for Gridmatic. You will work across teams to translate complex energy and financial data into reliable, real-time insights and tooling. You’ll own data ingest and transformations, enabling accurate analytics and scalable models. This is a hands-on position that blends data engineering with domain understanding to drive smarter energy decisions. Compensation / BenefitsContinuing Education OpportunitiesFlexible PTOMedical, Dental and Vision plansPre-Tax commuter benefitsHome Office StipendStock Option Loan Program ResponsibilitiesBuild and own the data platform to support revenue analytics and PnL in real timeDevelop tooling and infrastructure to expand renewable supply and simulate hypothetical resourcesOwn data ingest and transformation pipelines using Flyte and Python, and develop DBT modelsCollaborate with multiple teams to handle complex business logic and messy dataMaintain clean data architecture and efficient querying in data warehousesSpecifically support revenue and energy supply analytics through robust data pipelines Key requirementsStrong production Python and SQL skillsSolid understanding of storing and querying data in relational databases and data warehousesProduction DBT skills and clean data architecture experienceExperience with data orchestration tools (Flyte, Airflow, Prefect, Dagster)Interest in energy and financial data domain and ability to handle complex business logicHybrid work policy adherence (3 days in office, 1 day in Cupertino)Collaborative and startup-mindedStrong problem-solving with messy dataAbility to work across multiple teams and communicate clearlyPythonSQLRelational databases and data warehouses