Industrial Data Engineer

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Full
- Time Sisters, OR, US

4 days ago Requisition

ENERGYneering Solutions (ESI), a division of Trans Tech Energy, provides exceptional technical expertise in engineering and operations for the biogas utilization and management industries. Since 2007, ESI has specialized in design, construction, and operations for biogas projects that collectively produce over one million MWh of renewable electricity and over 50 million gallons of renewable vehicle fuel every year. ESI is built upon the principle of providing our clients with unmatched experience, flexibility, and follow-through.

ESI is seeking an Industrial Data Engineer to design, build, and maintain data solutions that connect operational technology (OT) systems with enterprise analytics. This role develops scalable ingestion, transformation, and storage pipelines for SCADA platforms, relational databases, enterprise systems, and reporting tools. The position converts raw operational and business data into trusted datasets, dashboards, and automated reports used by engineering, operations, customers, and regulatory stakeholders.

Success in this role requires a builder's mindset, strong SQL and SCADA skills, comfort working with industrial systems, and the ability to translate operational needs into reliable data products. The Industrial Data Engineer supports the full delivery lifecycle, including requirements gathering, code development, testing, CI/CD, production deployment, documentation, user support, and ongoing optimization.

This is a hybrid role based in Sisters, OR (Headquarters). The Industrial Data Engineer reports to the IT & Network Lead.

• Develop intuitive dashboards and automated production reports for RNG facilities, internal stakeholders, external clients, and regulatory bodies such as the EPA.
• Create reliable, consumable data models for Power BI, Tableau, and other analytics tools, with clear definitions for KPIs, operational metrics, and data trends.
• Design, build, and maintain scalable data ingestion, transformation, and storage pipelines that support enterprise analytics and operational reporting.
• Integrate data from SCADA systems, including Ignition, Factory Talk, Wonderware and similar platforms, with enterprise systems and analytics.
• Monitor and optimize dashboards, applications, queries, and pipelines; improve data integrity, security, availability, and performance.
• Develop and maintain software applications and scripts that support RNG facility operators, site owners, engineering teams, and business users.
• Connect software and data solutions with existing platforms used by RNG facilities, ensuring reliable data flow across systems.
• Use Git/Git Hub and modern development practices to support code review, testing, deployment to production, and ongoing platform improvement.
• Provide technical support, documentation, and user training so teams can effectively use data tools, dashboards, and software solutions.
• Partner with engineers, project managers, facility operators, IT, and operations teams to understand needs and deliver practical, maintainable solutions.
• Maintain clear documentation for data pipelines, data models, software applications, integrations, dashboards, reports, and support processes.
• Other duties as assigned.

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Data Analytics, or a related field preferred; equivalent practical experience will be considered.
• 3-4+ years of experience in data engineering, software development, business intelligence, analytics engineering, or a closely related technical role.
• Strong SQL skills and experience working with relational databases such as Postgre
  
  SQL, Microsoft SQL Server, MySQL, or similar systems.
• Experience building dashboards and reports using Power BI, Tableau, or similar visualization tools.
• Experience building ETL/ELT processes, data pipelines, and structured datasets from multiple source systems utilizing prefect and DBT or similar.
• Familiarity with SCADA or industrial automation platforms such as Ignition, Factory Talk, Wonderware, or similar systems.
• Experience with Git/Git Hub and development lifecycle practices such as code review, testing, CI/CD, and deployment support.
• Strong analytical, troubleshooting, and problem-solving skills, with attention to data quality and operational reliability.
• Excellent verbal and written communication skills, including the ability to explain technical concepts to non-technical users.
• Ability to work independently, manage priorities, self-motivate, and collaborate effectively in a fast-paced team environment.

• Experience in renewable energy, renewable…