Lab Data Engineer: Solar Data Pipelines & Insights

Lime Rock New Energy; Albuquerque (NM); On-site; USD 110,000 - 140,000; Full time

Job summary

GroundWork Renewables is seeking a Lab Data Engineer to design and maintain databases and ETL pipelines for solar lab data, turning complex measurements into actionable insights. You will collaborate with lab engineering, operations, and data science teams to ensure data reliability and availability.

Responsibilities include building dashboards and front-end tools, monitoring data systems, and supporting data quality with LIMS and regulatory standards—ISO 17025, GLP familiarity is a plus.

Qualifications

• Minimum 3 years of experience in data engineering, data science, or related discipline.
• Experience designing production databases and data pipelines.
• Experience in PV testing, solar energy measurement, or laboratory environments preferred.

Responsibilities

• Design, build, and maintain relational and time-series databases and data pipelines for lab instrument data.
• Develop front-end tools and dashboards to connect staff to data back-end using frameworks like Streamlit, Dash, FastAPI, or React.
• Analyze data to guide engineering, quality, and operations decisions and build reports and visualizations.
• Monitor health, uptime, and performance of data systems across teams and maintain data governance artifacts.

Skills

SQL proficiency

Python

ETL pipelines

Time-series/NoSQL

Data visualization

Dashboards

AI tooling

QA/QC checks

Git & CI/CD

Cloud platforms

Docker

LIMS familiarity

Education

Bachelor's degree in CS/Engineering

Tools

PostgreSQL/MySQL

Streamlit/Dash/React

Airflow/Ddagster/Prefect

Job description

GroundWork Renewables is seeking a Lab Data Engineer to design and maintain databases and ETL pipelines for solar lab data, turning complex measurements into actionable insights. You will collaborate with lab engineering, operations, and data science teams to ensure data reliability and availability.

Responsibilities include building dashboards and front-end tools, monitoring data systems, and supporting data quality with LIMS and regulatory standards—ISO 17025, GLP familiarity is a plus.