Data Engineer

Data Engineer Department: Information Technology Reports To: Data Analytics Manager Location: Plano, TX (Hybrid / WFH Eligible) Employment Type: Full-Time About GridHawk Holdings GridHawk Holdings is the parent company of GridHawk LLC and LineQuest LLC, two industry leaders in underground utility locating and private locating for the oil, gas, energy, and communications sectors. Our mission is to protect underground infrastructure, safeguard communities, and deliver unmatched precision in subsurface mapping. Position Summary As part of the GridHawk Holdings I.T. organization, the Data Engineer is responsible for designing, building, and maintaining data pipelines and integration processes that enable the organization to collect, store, and analyze data across multiple platforms. This position will play a critical role in connecting to core application systems using APIs, data streaming, direct SQL access, log shipping, and other industry-standard methods to bring that data into the company’s enterprise data lake, data warehouse, and data lakehouse environments hosted in Snowflake, Microsoft Fabric, AWS, and Azure. The Data Engineer will collaborate closely with the Data Analytics team to ensure the reliability, scalability, and performance of data systems that power business insights and reporting across all GridHawk Holdings subsidiaries. Essential Duties and Responsibilities Design, develop, and maintain data pipelines and ETL/ELT workflows to extract, transform, and load data from multiple source systems. Create integrations with key operational applications using APIs, data streaming, direct SQL connections, and log shipping. Manage data ingestion processes using tools such as Airbyte, Fivetran, or similar data integration solutions. Develop and optimize data models and transformations using DBT and other modern data frameworks. Build and maintain data environments in Snowflake, Microsoft Fabric, Azure Data Factory, and AWS Glue. Work closely with the Data Analytics team to ensure data accuracy, consistency, and readiness for business intelligence and reporting use cases. Maintain documentation for data sources, pipeline designs, data models, and process automation. Implement data governance and security practices in collaboration with the Cybersecurity and Infrastructure teams. Troubleshoot and resolve data pipeline issues and performance bottlenecks. Continuously evaluate and implement new technologies and methods to improve data reliability and efficiency. Education and Experience Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related field preferred. 3–7 years of hands-on experience in data engineering, ETL/ELT development, or database integration roles. Equivalent experience may offset formal education requirements. Knowledge, Skills, and Abilities Proficiency in SQL and at least one programming/scripting language (Python preferred). Strong experience with Snowflake, DBT, Airbyte, and Microsoft SQL Server. Familiarity with Azure Data Factory, AWS Glue, or other cloud-based ETL tools. Understanding of data warehouse and data lakehouse architectures. Experience with API integration, JSON, and RESTful data exchange. Knowledge of data modeling, schema design, and metadata management. Familiarity with version control (Git) and CI/CD deployment practices. Experience with Microsoft Fabric and Power BI preferred. Excellent analytical, troubleshooting, and problem-solving abilities. Strong communication and collaboration skills across technical and business teams. Physical Demands and Work Environment Prolonged periods of sitting at a desk and working on a computer. Minimal physical exertion required. Work is performed primarily in a remote/ work from home environment with occasional in-office days usually once a quarter. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.