Job description

Location: Houston, TX (Hybrid – Primarily Onsite) Pay: $130–$150/hour (1099 Contract) Contract: 12 Months (Potential to Convert to FTE) No C2C / No Sponsorship / No Relocation Join a High-Impact Digital Transformation Team! ElevationHR is hiring two Geospatial Data Engineers for a Fortune 500 energy & utilities company’s Digital Enablement team in Downtown Houston, TX. This is a hands-on, strategic role building the geospatial data infrastructure that powers AI, analytics, and data modernization initiatives enterprise-wide. If you’re passionate about GIS, Azure cloud solutions, and building scalable pipelines that make data actionable this role is for you! Key Responsibilities • Build Scalable Data Pipelines – Integrate GIS & non-spatial data to power enterprise analytics. • Enable Automation & Monitoring – Apply DevOps/DataOps best practices for reliability. • Develop APIs & Services – Provide secure, performant access to GIS datasets. • Engineer Cloud Solutions – Work with Azure Data Factory, Synapse, Databricks, and data lakes. • Collaborate Cross-Functionally – Partner with Data Scientists, Solution Architects & Business Analysts. • Optimize Performance – Tune pipelines and troubleshoot complex workflows. • Implement Version Control & CI/CD – Use Git, Terraform, Docker/Kubernetes. Qualifications • 5+ years of Data Engineering / DataOps experience. • Strong expertise in ArcGIS, spatial data formats, and GIS concepts. • Hands-on experience with Azure cloud (ADF, Synapse, Databricks preferred). • Skilled in Python, SQL, REST APIs & containerization (Docker/K8s). • Familiar with CI/CD, Git, Terraform & infrastructure-as-code. • Knowledge of data governance, lineage, and quality principles. • Bachelor’s degree in Computer Science, Engineering, or related field. • Must be available to work hybrid onsite at 1111 Louisiana St., Houston, TX Why You’ll Love This Opportunity • High-Impact Work: Build the backbone for enterprise AI & analytics. • Hybrid Flexibility: Onsite collaboration with flexibility based on deliverables. • Career Growth: Contract-to-hire potential for long-term impact. • Competitive Pay: $130–$150/hour. Apply Now! If you’re a Data Engineer or DataOps professional looking to work on cutting-edge GIS + AI projects in a Fortune 500 environment, we’d love to hear from you. Apply today and join a team driving enterprise-wide data transformation. #DataEngineer #DataOps #GIS #ArcGIS #Azure #AzureDataFactory #Synapse #Databricks #DevOps #HoustonTech #DataPipelines #EnterpriseData #AI #Analytics #DigitalTransformation #TechContractJobs

Requirements