Senior Data Engineer

Key Responsibilities: Design, develop, and maintain scalable data pipelines that support production and engineering operations. Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data. Collaborate with software, controls, and test engineering teams to deliver high-quality datasets for analytics and reporting. Establish and maintain engineering best practices, including version control, CI/CD, automated testing, documentation, and code reviews. Support and enhance cloud-based and on-premise data infrastructure. Evaluate technologies and recommend scalable architectural improvements for the data platform. Monitor production data workflows and troubleshoot performance or reliability issues.

Required Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (Master's degree preferred).6+ years of hands-on experience building and supporting enterprise data platforms in production environments. Strong expertise in:

• PythonSQLPostgreSQLAWS (S3, RDS, IAM, VPC)
• Apache Airflowdbt
• DockerGit and CI/CDProven experience developing and maintaining production ETL/ELT pipelines.
• Strong understanding of data modeling, query optimization, and engineering best practices.

Preferred Qualifications: Experience in one or more of the following industries:

• Manufacturing
• Industrial Automation
• RoboticsAutomotiveAerospaceSemiconductorEnergy or Clean Technology
• Experience working with:
• IgnitionSCADA or Industrial Control Systems
• Industrial Historian platformsOPC UADAQ systems
• Sensor, telemetry, or time-series data

What We're Looking For: Strong analytical and problem-solving skills. Ability to make sound technical decisions and take ownership of complex data initiatives. Comfortable working in a fast-paced, collaborative engineering environment. Excellent communication skills with the ability to work across multiple technical teams.

Compensation: $90,000.00 - $100,000.00 per year