Data Engineer – Python, SQL, Spark, ETL | Dallas, TX (Onsite)
First seen by Alion on Oct 9, 2026.
Location: Dallas, TX (Onsite, 5 Days a Week)
Duration: Long-Term
Job Type: Contract / Long-Term Engagement
Job Summary
We are seeking experienced Data Engineers to join our team in Dallas, TX. This role focuses on designing, developing, enhancing, and maintaining enterprise data warehouses, data pipelines, and advanced analytics platforms. The ideal candidates will have strong programming and SQL skills, hands-on experience with ETL processes and big data technologies, and an understanding of scalable, secure data architectures.
Candidates will collaborate with data scientists, analysts, and engineering teams to support advanced analytics initiatives, including machine learning, predictive modeling, and artificial intelligence.
Number of Openings: 7
Work Arrangement: 100% Onsite – Dallas, TX (5 days per week)
Key Responsibilities
Design, develop, enhance, and maintain enterprise data warehouses and advanced analytical applications.
Apply data engineering principles, techniques, and best practices to build reliable and scalable data solutions.
Maintain and optimize corporate data warehouses, analytical platforms, and data processing systems.
Develop, debug, test, and optimize ETL processes and data pipelines to improve performance, scalability, and reliability.
Design and implement data architectures that meet performance, scalability, security, and compliance requirements.
Support advanced analytics initiatives involving machine learning, predictive modeling, and artificial intelligence.
Collaborate with data scientists, data analysts, and cross-functional engineering teams to deliver analytics solutions.
Implement data security measures, including encryption, access controls, and data protection mechanisms.
Support data migration, data integration, and data transformation projects.
Troubleshoot data processing issues and ensure data quality, consistency, and availability.
Required Qualifications
Strong understanding of data engineering principles, methodologies, and best practices.
Proficiency in Python, Java, Scala, and SQL.
Experience with big data technologies and platforms such as Apache Spark, Hadoop, or cloud-based data services.
Knowledge of relational databases, database design, data modeling, and data warehouse concepts.
Understanding of ETL/ELT processes, data integration, and data transformation techniques.
Experience developing, maintaining, and troubleshooting data pipelines.
Understanding of scalable data architecture, data security, and access control principles.
Strong analytical, problem-solving, and debugging skills.
Ability to collaborate effectively with data engineering, analytics, and data science teams.
Willingness to work onsite in Dallas, TX, five days per week.
Preferred Qualifications
Experience supporting machine learning, predictive analytics, or AI-related data initiatives.
Familiarity with cloud data platforms and modern data warehouse technologies.
Experience with large-scale data processing, performance tuning, and data pipeline optimization.
Knowledge of data governance, data quality, encryption, and regulatory compliance practices.
Work Location and Engagement
Location: Dallas, Texas
Work Arrangement: Fully onsite, Monday through Friday
Duration: Long-term engagement
Open Positions: 7
How to Apply
Qualified candidates with experience in data engineering, SQL, Python, big data technologies, data warehousing, and ETL development are encouraged to apply. Candidates should be comfortable working onsite in Dallas, TX, five days a week.