> Markdown version of [/jobs/ext/1857159-data-engineer-with-automotive-manufacturing-domain](https://www.wearedevelopers.com/jobs/ext/1857159-data-engineer-with-automotive-manufacturing-domain). 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 with Automotive/ Manufacturing Domain - **Company:** ConnectedX, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Cloud Computing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Development, Microsoft SQL Server, Performance Tuning, Query Optimization, SQL Stored Procedures, SQL Databases, Tableau (Software), Technical Data Management Systems, Transact-SQL, Freeform SQL - **Published:** July 21, 2026 - **Apply:** https://www.dice.com/job-detail/fbed0df1-d185-4893-a3b5-adc5028bfaa7 ## About the Role The ideal candidate should have strong expertise in Microsoft SQL Server, Tableau, and Manufacturing Execution Systems (MES)/Manufacturing Operations Management (MOM), with the ability to analyse manufacturing data, optimize reporting solutions, and collaborate with business stakeholders., * SQL Server: Strong expertise in SQL, T-SQL, Stored Procedures, Views, Query Optimization, and Performance Tuning. * Tableau: Hands-on experience with Tableau Desktop, Tableau Server/Cloud, Tableau Prep, dashboard development, and performance optimization. * MES/MOM Knowledge: Good understanding of Manufacturing Execution Systems (MES), Manufacturing Operations Management (MOM), and manufacturing business processes. Experience with Siemens OpCenter is preferred. * Data Engineering: Experience with Data Modelling, Data Warehousing, ETL concepts, and manufacturing data integration. * Business Intelligence: Understanding of reporting, KPI development, and enterprise analytics solutions. * Analytical Skills: Strong problem-solving abilities with experience analysing large manufacturing datasets. * Communication: Excellent verbal and written communication skills with the ability to work effectively with business and technical teams. ## Description Role: Senior Data Engineer with Automotive/ Manufacturing Domain Location: Dallas, TX Duration: Long-term contract W2 Interview: Onsite- Plano, TX, * Dashboard & Report Development: Design, develop, and maintain interactive Tableau dashboards and reports for Production, Quality, Logistics, OEE, Traceability, and other manufacturing KPIs. * SQL Development & Data Analysis: Write and optimize complex SQL queries, stored procedures, and views to extract, validate, and analyse manufacturing data. * Data Engineering: Design and support data models, ETL processes, and data integration from manufacturing systems. * Performance Optimization: Optimize SQL queries, Tableau workbooks, and data models to ensure high-performance reporting solutions. * Manufacturing Analytics: Analyse manufacturing data to identify trends, improve operational efficiency, and support business decision-making. * Collaboration: Work closely with Business Analysts, manufacturing stakeholders, and Data Engineers to understand business requirements and deliver analytics solutions. * Data Quality: Validate data, troubleshoot reporting issues, and ensure data accuracy and consistency across source systems and BI platforms. * Maintenance & Support: Maintain and enhance existing dashboards and analytics solutions to meet evolving business needs. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [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) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)