Data Engineer, Analytics

Senior Data EngineerWe are seeking a Senior Data Engineer to join an innovative company in the industrial technology space. This is an opportunity to own and evolve a production data platform that powers operational insights, reporting, and engineering decision-making.Key ResponsibilitiesDesign, 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.RequiredQualificationsBachelor'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 AirflowdbtDockerGit and CI/CDProven experience developing and maintaining production ETL/ELT pipelines.Strong understanding of data modeling, query optimization, and engineering best practices.PreferredQualificationsExperience in one or more of the following industries: ManufacturingIndustrial AutomationRoboticsAutomotiveAerospaceSemiconductorEnergy or Clean TechnologyExperience working with: IgnitionSCADA or Industrial Control SystemsIndustrial Historian platformsOPC UADAQ systemsSensor, telemetry, or time-series dataExperience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage.What We're Looking ForStrong 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