Data Engineer

Job Title: Data Engineer Location: Dallas, TX Position Summary: We are seeking a self-sufficient, problem-solving Data Engineer to support the Power & Energy accounting & finance data environment. The role focuses on keeping critical ETL and data pipelines running, migrating and modernizing ETL processes (on-prem → cloud/modern DW), and enabling reliable, production-quality data for ~600 users. The ideal candidate is hands-on with SQL and Python, experienced with ETL/warehouse operations, comfortable working independently on a fragmented environment, and able to quickly diagnose and resolve data issues. Key Responsibilities: Operate and maintain production ETL pipelines and data integration workflows (on-prem and cloud). Troubleshoot and resolve data discrepancies, pipeline failures, and performance issues to "keep the wheels on the bus." Support migration efforts (e.g., Teradata / Alteryx → Snowflake / SQL-based ETL) and re-implement ETL logic using SQL/Python. Maintain and optimize on-prem SQL Server databases supporting business users; support backups, performance tuning, and capacity planning as needed. Build, document, and maintain reliable, auditable data processes and runbooks. Leverage automation and modern tooling (including AI/ML tools where applicable) to streamline operations and reduce manual effort. Work with offshore/IDC teams and contractors to coordinate deliveries and provide technical direction as needed. Required Qualifications: 3-5 years experience in data engineering, ETL operations, or similar roles (years flexible depending on skill). Strong SQL skills (T-SQL / SQL Server) - experience maintaining production SQL Server environments. Proficient in Python for data processing and automation. Practical experience with ETL design, troubleshooting, and pipeline maintenance. Demonstrated ability to work independently, prioritize work, and drive issues to resolution with minimal oversight. Strong problem-solving skills and ability to learn new tools/solutions quickly. Good communication skills for interacting with finance/accounting stakeholders and cross-functional teams. Preferred / Nice-to-Have: Experience with Alteryx and/or migrating off Alteryx. Experience with Snowflake, Teradata, or other modern data warehouse platforms. Exposure to cloud services (AWS preferred) - pipeline/orchestration experience (e.g., Glue, Lambda, Step Functions, Airflow, etc.). Familiarity with PL/SQL and other database scripting languages. Experience working in large, fragmented enterprise environments and with cross-border teams Jobs via Dice