[Remote] Senior Data Infrastructure Engineer

Note: The job is a remote job and is open to candidates in USA. 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, empowering analysts and enabling consistent reporting as Voltus grows.ResponsibilitiesOwn 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 SLAsManage and evolve our data modeling environments and provide a smooth, well-documented workflow for analysts and engineersOperate and improve our orchestration systems (Dagster), ensuring jobs run reliably and are observableEvaluate 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 platformImplement observability for data systems (logging, alerting, metrics) so issues are detected early and data quality is continuously monitoredChampion data governance and documentation, making datasets well-defined, trustworthy, and easy to navigateCollaborate with analysts, data scientists, and platform engineers to ensure the infrastructure you build is intuitive, scalable, and solves real-world problemsLay 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 casesSkillsProven experience in a data engineering or infrastructure role, with responsibility for production-grade pipelines and data systemsSkilled in a programming language such as Python (Bonus Go)Deep experience with ETL/ELT pipelines, dbt, and integrating disparate data sources into warehouses/lakesFamiliarity with cloud data platforms (AWS, GCP) and modern data tooling. We are running on AWSExperienced in workflow orchestration (Airflow, Dagster, or similar)Comfortable evaluating tradeoffs across notebook and analysis platforms (Jupyter, Marimo, Databricks) and recommending sustainable solutionsKnowledge of BI/analytics tools (Redash, Looker, Mode, Superset, etc.) and how to support or migrate to themStrong understanding of data quality, governance, and observabilityA clear communicator who can work across technical and non-technical teams to define requirements and deliver solutionsComfortable taking ownership end-to-end of critical data infrastructure and serving as a point person for reliability and directionFamiliarity with observability/monitoring tools (e.g., Datadog, Prometheus)Experience and Familiarity with Delta Lake, Databrick, DuckdbExposure with LLM-based applications and toolchains (LangChain, LlamaIndex, lite-llm)Experience with vector databases (Pinecone, Qdrant, Chroma)BenefitsFull-Time employment typeRemote workplace typeWork primarily from their home country with approval required for travel to other countriesEqual employment opportunity regardless of gender identity, race, nationality, religion, age, sexual orientation, veteran status, disability status, or marital statusCompany OverviewVoltus provides cash-generating energy products to commercial, institutional, and industrial customers. It was founded in 2016, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.voltus.co.