About the role
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.
What You’ll Do
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.
Who You Are
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).
Bonus Points
Experience and Familiarity with Delta Lake, Databrick, Duckdb
Exposure with LLM-based applications and toolchains (LangChain, LlamaIndex, lite-llm).
Experience with vector databases (Pinecone, Qdrant, Chroma).
Why Join Voltus?
At Voltus, data is core to our mission of unlocking the full value of distributed energy resources for our customers and the grid. By joining our team, you’ll:
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.
