> Markdown version of [/jobs/ext/4167015-data-engineer](https://www.wearedevelopers.com/jobs/ext/4167015-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:** Robotics Technologies LLC - **Location:** Dallas, TX, United States - **Experience:** Starter - **Contract:** Temporary contract - **Skills:** Agile Methodology, Code Review, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mining, Relational Databases, Database Storage Structures, Database Theory, Document-Oriented Databases, Python (Programming Language), PostgreSQL, MySQL, Standard Sql, Software Engineering, SQL Databases, Data Processing, Cloud Platform System, Git, Information Technology, Data Pipelines - **Published:** October 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5e6030d8e7daf88c ## About the Role * 1-3 years of professional Data Engineering or related experience. * Strong proficiency in Python and SQL. * Experience with ETL/ELT processes and data pipelines. * Experience working with relational databases. * Knowledge of data modeling and database concepts. * Familiarity with Git and software development practices. * Strong analytical and problem-solving skills. * Bachelor's degree in Computer Science, Information Technology, Engineering, or related field preferred. Preferred Skills: * Python * SQL * ETL / ELT * Data Pipelines * Data Modeling * PostgreSQL / MySQL ## Description * Develop and maintain scalable data pipelines and ETL workflows. * Extract, transform, and load data from multiple sources. * Write optimized SQL queries for data extraction and transformation. * Develop data processing solutions using Python. * Monitor data pipelines and troubleshoot data quality or processing issues. * Work with data analysts, data scientists, software engineers, and business teams. * Design and maintain data models and database structures. * Implement data validation and quality checks. * Optimize data pipelines for performance and reliability. * Document data pipelines, processes, and technical solutions. * Support cloud-based data platforms and data integration projects. * Participate in Agile development and code reviews.