{"schemaVersion":"jobsearcher.job.v1","id":"9aeda71908a00a80e08a7bcb","url":"https://jobsearcher.com/jobs/9aeda71908a00a80e08a7bcb","canonicalUrl":"https://jobsearcher.com/jobs/9aeda71908a00a80e08a7bcb","title":"Data Engineer","description":"Description:\r\nWe are looking for a motivated Data Engineer to join our growing data team. This role is ideal for a beginner-to-intermediate professional who is excited to help build, maintain, and optimize modern data pipelines, ensuring the organization has access to clean, reliable data. You will work closely with relational databases, cloud data warehouses, and modern orchestration tools while supporting analytics initiatives across the company. This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt, Dagster, BigQuery) while enjoying a high degree of autonomy.\r\nRequirements\r\nCore Responsibilities\r\nPipeline Development: Design, build, and optimize robust ETL/ELT data pipelines to ingest data from legacy ODBC databases and modern third-party APIs .\r\nData Transformation: Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models.\r\nOrchestration: Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early.\r\nDatabase Management: Work across both SQL Server and Google BigQuery , managing data structures and optimizing queries.\r\nData Quality & Governance: Support data validation, troubleshooting efforts, and documentation of data governance best practices.\r\nStakeholder Support: Collaborate with analytics teams to deliver clean datasets for reporting and support dashboard initiatives in Tableau or other BI Tools as required.\r\nOther duties as required.\r\nRequired Skills & Qualifications\r\nExperience: 1–3 years in data engineering, analytics engineering, or a data-heavy technical role.\r\nStrong SQL Skills: Proficiency in writing, debugging, and optimizing complex queries and stored procedures.\r\nPython Proficiency: Ability to write clean Python scripts for data manipulation, automation, and interacting with APIs.\r\nETL/ELT Concepts: Solid understanding of data pipeline development and API/ODBC integrations.\r\nTechnical Troubleshooting: Proven ability to troubleshoot data issues and work independently.\r\nPreferred Qualifications & Nice-to-Haves\r\nModern Data Stack: Familiarity with dbt (data build tool) and Dagster (or similar tools like Airflow).\r\nGoogle Cloud Platform (GCP): Familiarity with BigQuery, Google Cloud Storage (Buckets), and Google Drive integrations.\r\nData Visualization: Experience with Tableau or similar BI tools to understand downstream data consumption.\r\nVersion Control: Basic experience with Git/GitHub .\r\nAgile Mindset: Experience working in fast-paced environments with an interest in automation and process improvement.\r\nAgentic agent development knowledge is a plus.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Lewisville","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:59:30.760Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Description:\r\nWe are looking for a motivated Data Engineer to join our growing data team. This role is ideal for a beginner-to-intermediate professional who is excited to help build, maintain, and optimize modern data pipelines, ensuring the organization has access to clean, reliable data. You will work closely with relational databases, cloud data warehouses, and modern orchestration tools while supporting analytics initiatives across the company. This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt, Dagster, BigQuery) while enjoying a high degree of autonomy.\r\nRequirements\r\nCore Responsibilities\r\nPipeline Development: Design, build, and optimize robust ETL/ELT data pipelines to ingest data from legacy ODBC databases and modern third-party APIs .\r\nData Transformation: Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models.\r\nOrchestration: Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early.\r\nDatabase Management: Work across both SQL Server and Google BigQuery , managing data structures and optimizing queries.\r\nData Quality & Governance: Support data validation, troubleshooting efforts, and documentation of data governance best practices.\r\nStakeholder Support: Collaborate with analytics teams to deliver clean datasets for reporting and support dashboard initiatives in Tableau or other BI Tools as required.\r\nOther duties as required.\r\nRequired Skills & Qualifications\r\nExperience: 1–3 years in data engineering, analytics engineering, or a data-heavy technical role.\r\nStrong SQL Skills: Proficiency in writing, debugging, and optimizing complex queries and stored procedures.\r\nPython Proficiency: Ability to write clean Python scripts for data manipulation, automation, and interacting with APIs.\r\nETL/ELT Concepts: Solid understanding of data pipeline development and API/ODBC integrations.\r\nTechnical Troubleshooting: Proven ability to troubleshoot data issues and work independently.\r\nPreferred Qualifications & Nice-to-Haves\r\nModern Data Stack: Familiarity with dbt (data build tool) and Dagster (or similar tools like Airflow).\r\nGoogle Cloud Platform (GCP): Familiarity with BigQuery, Google Cloud Storage (Buckets), and Google Drive integrations.\r\nData Visualization: Experience with Tableau or similar BI tools to understand downstream data consumption.\r\nVersion Control: Basic experience with Git/GitHub .\r\nAgile Mindset: Experience working in fast-paced environments with an interest in automation and process improvement.\r\nAgentic agent development knowledge is a plus.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:59:30.760Z","dateModified":"2026-08-08T01:59:30.760Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lewisville","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9aeda71908a00a80e08a7bcb"},"url":"https://jobsearcher.com/jobs/9aeda71908a00a80e08a7bcb"}}