Senior Data Infrastructure Engineer

• Proven experience in a data engineering or infrastructure role , with responsibility for production-grade pipelines and data systems. • Skilled in a programming language such as Python (Bonus Go) • Deep experience with ETL/ELT pipelines, dbt, and integrating disparate data sources into warehouses/lakes. • Familiarity with cloud data platforms (AWS, GCP) and modern data tooling. We are running on AWS • Experienced in workflow orchestration (Airflow, Dagster, or similar). • Comfortable evaluating tradeoffs across notebook and analysis platforms (Jupyter, Marimo, Databricks) and recommending sustainable solutions. • Knowledge of BI/analytics tools (Redash, Looker, Mode, Superset, etc.) and how to support or migrate to them. • Strong understanding of data quality, governance, and observability. • A clear communicator who can work across technical and non-technical teams to define requirements and deliver solutions. • Comfortable taking ownership end-to-end of critical data infrastructure and serving as a point person for reliability and direction. • Familiarity with observability/monitoring tools (e.g., Datadog, Prometheus).

• Take ownership of the data infrastructure of a fast-growing climate-tech company. • Shape the future of Voltus’ data platform, deciding which tools to standardize on, which to deprecate, and how to scale as the company grows. • Work on production-grade pipelines and platforms that drive business-critical decisions every day. • Collaborate with a bright, gritty, and good team that values innovation, impact, and integrity. • Enable Voltus to leverage its data for both today’s analytics and tomorrow’s advanced applications.