> Markdown version of [/jobs/ext/1179404-data-engineer](https://www.wearedevelopers.com/jobs/ext/1179404-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** AIT Global, Inc. - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $62,400.0 - $104,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Backup Devices, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Cloud Services, Runbook, PL-SQL, SQL Databases, Teradata SQL, Transact-SQL, Scripting, Snowflake, Machine Learning Operations, Data Pipelines, Alteryx - **Published:** July 4, 2026 - **Apply:** https://www.careerjet.com/jobad/usb7de33c40cd6270960cdc5eb8ad62f3d ## About the Role * 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 ## Description 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., * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)