{"id":2213334,"url":"https://alion.io/job/qentelli-data-engineer-python-sql-spark-etl-dallas-tx-onsite","title":"Data Engineer – Python, SQL, Spark, ETL | Dallas, TX (Onsite)","company":{"id":1798376,"name":"Qentelli","domain":"qentelli.com","url":"https://alion.io/company/qentelli","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":215000,"period":"year","method":"role_country_seniority_unknown","sample_n":2952},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T19:21:37Z","employer_posted_date":null,"last_verified_at":"2026-10-09T19:21:37Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Job Title: Data Engineer Location: Dallas, TX (Onsite, 5 Days a Week)\nDuration: Long-Term\nJob Type: Contract / Long-Term Engagement\nJob Summary\nWe 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.\nCandidates will collaborate with data scientists, analysts, and engineering teams to support advanced analytics initiatives, including machine learning, predictive modeling, and artificial intelligence.\nNumber of Openings: 7\nWork Arrangement: 100% Onsite – Dallas, TX (5 days per week)\nKey Responsibilities\nDesign, develop, enhance, and maintain enterprise data warehouses and advanced analytical applications.\n\nApply data engineering principles, techniques, and best practices to build reliable and scalable data solutions.\n\nMaintain and optimize corporate data warehouses, analytical platforms, and data processing systems.\n\nDevelop, debug, test, and optimize ETL processes and data pipelines to improve performance, scalability, and reliability.\n\nDesign and implement data architectures that meet performance, scalability, security, and compliance requirements.\n\nSupport advanced analytics initiatives involving machine learning, predictive modeling, and artificial intelligence.\n\nCollaborate with data scientists, data analysts, and cross-functional engineering teams to deliver analytics solutions.\n\nImplement data security measures, including encryption, access controls, and data protection mechanisms.\n\nSupport data migration, data integration, and data transformation projects.\n\nTroubleshoot data processing issues and ensure data quality, consistency, and availability.\n\nRequired Qualifications\nStrong understanding of data engineering principles, methodologies, and best practices.\n\nProficiency in Python, Java, Scala, and SQL.\n\nExperience with big data technologies and platforms such as Apache Spark, Hadoop, or cloud-based data services.\n\nKnowledge of relational databases, database design, data modeling, and data warehouse concepts.\n\nUnderstanding of ETL/ELT processes, data integration, and data transformation techniques.\n\nExperience developing, maintaining, and troubleshooting data pipelines.\n\nUnderstanding of scalable data architecture, data security, and access control principles.\n\nStrong analytical, problem-solving, and debugging skills.\n\nAbility to collaborate effectively with data engineering, analytics, and data science teams.\n\nWillingness to work onsite in Dallas, TX, five days per week.\n\nPreferred Qualifications\nExperience supporting machine learning, predictive analytics, or AI-related data initiatives.\n\nFamiliarity with cloud data platforms and modern data warehouse technologies.\n\nExperience with large-scale data processing, performance tuning, and data pipeline optimization.\n\nKnowledge of data governance, data quality, encryption, and regulatory compliance practices.\n\nWork Location and Engagement\nLocation: Dallas, Texas\n\nWork Arrangement: Fully onsite, Monday through Friday\n\nDuration: Long-term engagement\n\nOpen Positions: 7\n\nHow to Apply\nQualified candidates with experience in data engineering, SQL, Python, big data technologies, data warehousing, and ETL development are encouraged to apply. 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