GIS Data Engineer

About Us

TRC, Member of WSP, is a global consulting environmental and engineering firm and one of the top design firms in the energy sector. Together, TRC and WSP’s 83,000 experts create positive, long-lasting impacts for our communities and our clients in the power and energy, transportation and infrastructure, environmental, and property and buildings sectors. As part of our team, you’ll discover a world of opportunities to connect with innovative thinkers, forge your path, and have fun tackling the world’s most challenging projects. At TRC, Member of WSP, you can have a rewarding career on every level.

TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader.

We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications.

Overview

The GIS Data Engineer will design, develop, and maintain geospatial data pipelines and workflows for the utilities domain. This role involves working with large datasets, automating data processing, and ensuring seamless integration with Esri platforms, with FME knowledge as an added advantage.

Responsibilities

• Design and implement data processing pipelines to transform raw geospatial data into actionable insights.
• Develop and maintain Python scripts (ArcPy) for automating data processing and analysis.
• Perform geospatial data management, including data extraction, transformation, and loading (ETL) processes.
• Work with large utility datasets, ensuring data integrity and performance optimization.
• Publish and manage geoprocessing services (GP services) for enterprise GIS applications.
• Collaborate with GIS developers and analysts to integrate data workflows with Esri platforms (ArcGIS Pro, ArcGIS Enterprise).
• Support spatial data migration efforts, including data conversion and integration with utility network models.
• Optimize database performance for spatial queries and large datasets in PostgreSQL or Oracle.
• Leverage FME (Feature Manipulation Engine) for data transformation, automation, and integration tasks.
• Generate on-demand reports and dashboards for stakeholders using processed data.

Qualifications

• Bachelor’s degree in GIS, Computer Science, or a related field.
• 3–6 years of experience in GIS data engineering, scripting, and automation.
• Strong expertise in Esri technologies, including ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Server.
• Extensive experience with Python scripting (ArcPy) for data processing and automation.
• Proficiency in handling large geospatial datasets and geoprocessing tools.
• Experience with databases such as PostgreSQL and Oracle, including spatial extensions (PostGIS, ArcSDE).
• Familiarity with utility network models (Gas, Electric, Water, Telecom) is highly desirable.
• Must have exp of FME (Feature Manipulation Engine) for data transformation and automation is an added advantage.
• Strong problem-solving and analytical skills with attention to detail.
• Effective communication and teamwork skills.

EEO Statement

TRC is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business needs. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The complete job description and application are available on TRC’s career site .

TRC accepts applications for this position on an ongoing, rolling basis and reserves the right to cancel this posting at any time.