{"schemaVersion":"jobsearcher.job.v1","id":"45fa373cb30ba8e37e9b5f94","url":"https://jobsearcher.com/jobs/45fa373cb30ba8e37e9b5f94","canonicalUrl":"https://jobsearcher.com/jobs/45fa373cb30ba8e37e9b5f94","title":"SQL Data Engineer (W2 ONLY)","description":"Overview\nIn this remote contract-to-hire Data Engineer role, you will build robust data pipelines and standardized storage to unlock analytics-ready assets. You will work within a cross-functional team to implement Medallion architecture, open-format storage, and embedded analytics. The position emphasizes scalable ETL, cross-cloud compatibility, and fast data processing with modern tooling. This is a Dallas-based opportunity with a fully remote setup, requiring a background check and no sponsorship.\n\nCompensation / BenefitsMedical, dental & vision401(k) retirement planLife Insurance (Voluntary Life & AD&D)Short and long-term disabilityHealth Spending Account (HSA)PTO / vacation / sick leave\nResponsibilitiesDesign and implement resilient Python data pipelines following Bronze/Silver/Gold medallion architectureStandardize storage using Parquet, Apache Iceberg, and Delta Lake for cross-cloud compatibilityIncorporate DuckDB with Python for localized ETL analyticsArchitect and optimize PostgreSQL schemas; support SQLite for embedded storage needsScale ETL and analytics workloads with Databricks or Apache Spark\nKey requirementsProficiency in Python for data engineeringExperience with Medallion architecture (Bronze/Silver/Gold)Hands-on with Databricks or Apache Spark for distributed computeStrong SQL skills; PostgreSQL experience; familiarity with SQLiteExperience with Parquet, Apache Iceberg, Delta LakeKnowledge of DuckDB for embedded analyticsAbility to work remote; eligible to work directly for TEKsystems without sponsorshipBackground check and drug screen requiredPythonMedallion architecture (Bronze/Silver/Gold)DatabricksApache SparkPostgreSQLSQLite","company":"TEKsystems","rawCompany":"teksystems","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-22T04:05:23.304Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"SQL Data Engineer (W2 ONLY)","description":"Overview\nIn this remote contract-to-hire Data Engineer role, you will build robust data pipelines and standardized storage to unlock analytics-ready assets. You will work within a cross-functional team to implement Medallion architecture, open-format storage, and embedded analytics. The position emphasizes scalable ETL, cross-cloud compatibility, and fast data processing with modern tooling. This is a Dallas-based opportunity with a fully remote setup, requiring a background check and no sponsorship.\n\nCompensation / BenefitsMedical, dental & vision401(k) retirement planLife Insurance (Voluntary Life & AD&D)Short and long-term disabilityHealth Spending Account (HSA)PTO / vacation / sick leave\nResponsibilitiesDesign and implement resilient Python data pipelines following Bronze/Silver/Gold medallion architectureStandardize storage using Parquet, Apache Iceberg, and Delta Lake for cross-cloud compatibilityIncorporate DuckDB with Python for localized ETL analyticsArchitect and optimize PostgreSQL schemas; support SQLite for embedded storage needsScale ETL and analytics workloads with Databricks or Apache Spark\nKey requirementsProficiency in Python for data engineeringExperience with Medallion architecture (Bronze/Silver/Gold)Hands-on with Databricks or Apache Spark for distributed computeStrong SQL skills; PostgreSQL experience; familiarity with SQLiteExperience with Parquet, Apache Iceberg, Delta LakeKnowledge of DuckDB for embedded analyticsAbility to work remote; eligible to work directly for TEKsystems without sponsorshipBackground check and drug screen requiredPythonMedallion architecture (Bronze/Silver/Gold)DatabricksApache SparkPostgreSQLSQLite","datePosted":"2026-09-22T04:05:23.304Z","dateModified":"2026-09-22T04:05:23.304Z","hiringOrganization":{"@type":"Organization","name":"TEKsystems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"45fa373cb30ba8e37e9b5f94"},"url":"https://jobsearcher.com/jobs/45fa373cb30ba8e37e9b5f94"}}