DeveloperJobs.io
← Back to all jobs
GroundWork Renewables, Inc.

Data Engineer

GroundWork Renewables, Inc.
Albuquerque, NM $90k - $100k/yr Full time Posted 9d ago
Python Data Architecture Data Engineer Data Governance Data Integration Data Pipeline Data Platform Data Processing Data Security Data Visualization Database Databases ETL Reporting and Analytics SQL
Apply Now

Job Description

Onsite Data Engineer role in Albuquerque, NM for GroundWork Renewables, Inc., offering USD 90,000 - 100,000 per year.

Responsibilities

  • Technical Subject Matter Expertise: Design, implement, and maintain relational and time-series databases for lab instrument data, environmental measurements, and operational records. Develop and manage ETL/ELT pipelines to ingest, transform, and store data from IoT sensors, measurement hardware, and remote sensing platforms. Build and deploy internal data access tools and applications using modern frameworks (e.g., Streamlit, FastAPI, React, or similar) to enable lab staff to query, visualize data.
  • Data Quality Assurance & Control: Develop and enforce QA/QC protocols to validate incoming data from lab instruments and field sensors in accordance with applicable regulatory and accreditation standards (e.g., ISO 17025 or similar). Implement automated checks, flagging routines, statistical validation, and audit trails to detect anomalies, missing data, and calibration drift. Maintain defensible data records that satisfy chain-of-custody and traceability requirements. Ensure data integrity from source to storage and reporting.
  • Database Architecture & Optimization: Architect and optimize database schemas for performance, scalability, and ease of access. Evaluate and recommend appropriate database technologies (SQL, NoSQL, time-series) based on data volume, query patterns, and the lab's analysis and reporting requirements.
  • Stakeholder Collaboration: Partner with lab engineers, metrology staff, and operations to understand data access requirements and translate them into technical solutions. Serve as the primary point of contact for the lab's internal data availability and reporting needs.
  • Internal Tool & Application Development: Design and build internal data access tools, dashboards, and reporting interfaces using modern full-stack frameworks (e.g., React, FastAPI, Streamlit, Plotly Dash). Leverage AI-assisted development environments (e.g., GitHub Copilot, Cursor, Claude Code, or similar) to accelerate development cycles while ensuring maintainability, security, and compliance with lab data governance requirements. Enable non-technical lab staff to explore, filter, and export data.
  • Data Governance & Documentation: Maintain comprehensive data dictionaries, schema documentation, and data lineage records consistent with laboratory quality management systems. Contribute to laboratory SOPs and data management plans. Stay current with emerging data engineering technologies, AI tooling, and laboratory informatics practices to continuously improve the lab’s data infrastructure.

Requirements

  • Minimum of 3 years of experience in data engineering, database engineering, ETL/ELT pipeline development, or a related technical discipline.
  • Experience designing and operating production data pipelines and infrastructure.
  • Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field.
  • Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL, or similar); familiarity with time-series or NoSQL databases a plus.
  • Proficiency in Python (pandas, SQLAlchemy, FastAPI, or similar) for data engineering, scripting, and backend service development.
  • Hands-on experience designing and operating ETL/ELT data pipelines and workflow orchestration tools (e.g., Apache Airflow, Dagster, Prefect, or similar), including scheduling, dependency management, and pipeline monitoring.
  • Experience building web applications or data dashboards using tools such as Streamlit, Dash, FastAPI, React, or modern AI-assisted development environments (e.g., GitHub Copilot, Cursor, Claude Code, or similar); ability to deliver functional, user-facing tools rapidly using AI pair-programming workflows.
  • Experience implementing QA/QC workflows for instrument or sensor data, including anomaly detection, validation rules, statistical flagging, and audit logging; familiarity with laboratory quality management standards (e.g., ISO 17025, GLP, or similar regulatory frameworks) is a strong plus.
  • Excellent communication skills; ability to translate complex technical data concepts for non-technical stakeholders including lab engineers and business analysts.
  • Familiarity with version control (Git), CI/CD practices, and cloud data platforms (AWS, Azure, or GCP); experience with containerization (Docker) is a plus.
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code, or similar) to write, debug, and refactor code; comfort evaluating AI-generated outputs for correctness, security, and suitability in a regulated laboratory data environment.
  • Understanding of laboratory informatics concepts and data management in accredited or regulated settings.

Technologies

  • PostgreSQL
  • MySQL
  • NoSQL
  • time-series databases
  • Python
  • pandas
  • SQLAlchemy
  • FastAPI
  • Streamlit
  • React
  • Plotly Dash
  • Apache Airflow
  • Dagster
  • Prefect
  • GitHub Copilot
  • Cursor
  • Claude
  • Git
  • Docker
  • AWS
  • Azure
  • GCP
  • LIMS

Benefits

  • 401(k)
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Vision insurance

Similar Jobs