Data Engineer - W2 (No C2C or 1099) - Onsite role with face to face interview in Dallas, TX (Posted SAM)

Must have strong hands-on experience working with Databricks, SQL, and Python to build, support, and optimize enterprise data pipelines in production environments. Proven expertise in writing advanced SQL queries using joins, window functions, CTEs, and performance tuning techniques to deliver high-quality and scalable data solutions. Strong Python development experience using PySpark and pandas for data processing, automation, transformation, and pipeline development. Hands-on experience des

ONLY W2, NO C2C Title: Data Engineer Client Industry: Home Improvement Duration: 6+ Month Contract to Hire Location: Coppell, TX OR Fort Wayne, IN - Fully onsite 5 days per week and MUST BE LOCAL to one of these two locations ONSITE INTERVIEW REQUIRED Top Skills Details Databricks SQL Python Medallion architecture (Bronze, Silver, and Gold) Required Strong SQL skills, including advanced joins, window functions, CTEs, and performance tuning. Python experience for data processing and automation

Position:Data Engineer Location:Coppell, TX 100% Onsite Duration:6 Months contract on W2 Interview:Video Job Description: We are seeking an experiencedData Engineerwith strong hands-on expertise inDatabricks, SQL, and Python. The ideal candidate will have experience designing and developing scalable data pipelines usingMedallion Architecture (Bronze, Silver, and Gold layers). Must-Haves: Strong hands-on experience withDatabricks StrongSQLskills StrongPythonprogramming experience Experien

Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data enginee