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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Databricks, ADF, SQL - Technical Lead - **Company:** Ineos Styrolution America LLC - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Microsoft Azure, Code Review, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Database Queries, Dimensional Modeling, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Power BI, Azure Data Lake, SQL Stored Procedures, SQL Databases, Enterprise Data Management, Data Logging, Data Processing, Freeform SQL, Azure Data Factory, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Integration Frameworks, Data Management, Data Pipelines, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.careerjet.com/jobad/us120acb01c8dc18d09f3c44951bd13417 ## About the Role * 10+ years of overall experience in Data Engineering, Data Warehousing, ETL, or related data technologies. * 5+ years of hands-on experience with Azure Data Factory (ADF) and Azure-based data engineering solutions. * 4+ years of strong hands-on experience with Azure Databricks. * Advanced expertise in SQL, including complex queries, stored procedures, performance tuning, and data transformations. * Strong experience designing and developing ETL/ELT pipelines for large-scale enterprise data platforms. * Hands-on experience with PySpark / Spark for distributed data processing. * Experience leading data engineering teams and providing technical direction, code reviews, troubleshooting, and production support. * Strong understanding of data warehousing, dimensional modeling, data integration, and data quality. * Ability to work from Dallas, TX as required. ## Description * Lead the design, development, implementation, and support of enterprise data engineering solutions using Azure Databricks, Azure Data Factory, SQL, and PySpark. * Design and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple enterprise sources. * Develop Databricks notebooks and Spark-based data processing solutions for high-volume datasets. * Build and maintain ADF pipelines, datasets, linked services, triggers, and integration workflows. * Develop and optimize complex SQL queries and data transformation processes. * Provide technical leadership to the data engineering team, including solution guidance, development standards, code reviews, and mentoring. * Troubleshoot data pipeline failures, performance bottlenecks, and production issues. * Work closely with architects, business analysts, application teams, and data consumers to translate requirements into technical solutions. * Implement data quality, validation, monitoring, logging, and error-handling mechanisms. * Support deployment and release activities across development, QA, and production environments. * Ensure solutions follow enterprise security, governance, performance, and data management standards. Preferred Skills * Experience with Azure Data Lake Storage (ADLS Gen2), Delta Lake, Databricks Lakehouse, Unity Catalog, CI/CD/Azure DevOps, Python, Git, and Power BI would be advantageous., Description: CTG is seeking to fill a Data Engineer - Databricks / Snowflake position for our client. Location: Dallas, TX Duration: 11 months Duties: Develop and maintain… + 6 days ago, Position Title: Sr. Data Engineer (SQL / Databricks) Work Mode: Hybrid 3 days WFO (Tuesday, Wednesday and Thursday) Client Office Location: Irving, TX Interview: Face-to-Face… + 22 hours ago + Apply easily ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)