EnergyHub seeks a Principal Data Engineer to design, implement, and operate large-scale data pipelines and systems ingesting telemetry and utility data (e.g., AMI, GIS, EMS/SCADA) from energy IoT devices. The role works independently across teams to build APIs, integrate with energy markets, improve pipeline scale/reliability, and collaborate with analytics/ML teams. Required: 10+ years professional software development, Python and SQL, experience with data pipelines/ELT/ETL and data warehousing (Snowflake). Preferred: Airflow, dbt, AWS Kinesis, S3, CI/CD, Java, MongoDB, BI tools. Position is remote in the United States; employer does not provide immigration sponsorship.

Lead technical role focused on scalable systems for ingesting, processing, observing, and maintaining large volumes of data, partner and third-party API integrations, file-driven pipelines (CSV/SFTP/Airflow), and Snowflake-based data workflows. Requires 7+ years of software engineering experience; base salary range $160,000–$180,000 USD. Sponsorship for employment authorization is not available for this position.

Join EnergyHub's Data Science and Power Systems Intelligence team to develop and improve energy forecasting models, control and optimization algorithms, and production-grade software. Work with large distributed energy datasets, build data pipelines, monitor operational models, and present results to stakeholders. Requires strong machine learning, optimization, Python, and data engineering experience.