Senior Data Infrastructure Engineer, Voltus

• 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)

Desirable

• Voltus is seeking a Senior Data Infrastructure Engineer to join our growing team
• This role will put you at the center of a strategic initiative to strengthen our core data infrastructure, the pipelines, models, and platforms that power everything from business analytics to advanced applications in the future
• You will own and improve the systems that unify our disparate data sources, making them reliable, discoverable, and programmatically accessible
• Your work will directly empower analysts, enable consistent reporting, and lay the foundation for scalable, AI-ready infrastructure as Voltus grows
• Own and maintain our data pipeline architectures (e.g., critical data ingestion services, ETL pipelines, database mirroring and warehousing), ensuring they are reliable, monitored, and meet SLAs
• Manage and evolve our data modeling environments and provide a smooth, well-documented workflow for analysts and engineers
• Operate and improve our orchestration systems (Dagster), ensuring jobs run reliably and are observable
• Evaluate and rationalize data tooling from Databricks and notebooks (Marimo, Jupyter) to BI/analytics platforms (Redash and alternatives) and guide Voltus toward a sustainable, coherent data platform
• Implement observability for data systems (logging, alerting, metrics) so issues are detected early and data quality is continuously monitored
• Champion data governance and documentation, making datasets well-defined, trustworthy, and easy to navigate
• Collaborate with analysts, data scientists, and platform engineers to ensure the infrastructure you build is intuitive, scalable, and solves real-world problems
• Lay the groundwork for advanced applications by making Voltus’ data reliably accessible via well-documented interfaces, positioning us to adapt to future ML and AI use cases
• 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