{"schemaVersion":"jobsearcher.job.v1","id":"c6d2dee1ce0184d7e1bb4dfd","url":"https://jobsearcher.com/jobs/c6d2dee1ce0184d7e1bb4dfd","canonicalUrl":"https://jobsearcher.com/jobs/c6d2dee1ce0184d7e1bb4dfd","title":"Remote Databricks Data Engineer","description":"Company DescriptionDevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-market companies focused on reducing energy costs, curing disease, improving education, building smart cities, and more. From true innovation and synergetic cloud & technology partnerships to competitive full-time benefits and a strong team culture, DevIQ is a great place to work.\r\nAt DevIQ, you’ll:\r\nBuild your career with a supportive, inclusive team that appreciates people, creates value, embraces growth, and “owns the problem” as a team.\r\nEnjoy opportunities to learn, exposure to new industries, and building end-to-end solutions through meaningful work on active client projects.\r\nWork remotely and/or from our modern studio in downtown Denver.\r\nBring your unique perspective and experience to multi-disciplinary teams.\r\nCollaborate on and contribute to transformative digital experiences that touch millions of lives, watching your work make an impact.\r\nPlease note that you must be a U.S. citizen or eligible to work in the U.S. to be considered for this role, and third-party candidates will not be accepted.Job DescriptionWe are seeking a Databricks Data Engineer to join our growing team. In this role, you’ll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You’ll play a critical role in designing workflows that ingest, transform, clean, normalize, and augment data from various sources — leveraging Databricks Delta Lake, Unity Catalog, and Spark for production-grade pipelines.\r\nYou should be comfortable working in cloud-based environments — particularly Databricks — and have experience with structured and unstructured data. A strong command of SQL and Python is essential, along with hands-on experience using Databricks (Delta Lake, Spark notebooks, Unity Catalog), Pandas, Apache Spark, or similar data transformation frameworks.\r\nKey Responsibilities:\r\nDesign and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation\r\nWork with structured, semi-structured, and unstructured data across diverse environments\r\nDevelop approaches to source data from diverse platforms (flat files, databases, APIs, streams, etc.)\r\nDevelop and maintain data transformation workflows in Databricks using Delta Lake, Spark notebooks, and Unity Catalog\r\nCollaborate with cross-functional teams to gather data requirements and translate them into actionable data models\r\nPerform data quality checks and implement validation logic to ensure reliable outputs\r\nCreate basic visualizations to support validation, exploration, and stakeholder communication\r\nOptimize performance of pipelines in cloud and distributed computing environmentsQualificationsRequired:\r\n3+ years of hands-on production Databricks experience with SQL and Python in data engineering roles\r\nExperience with data transformation tools/frameworks such as DLT, dbt, and Apache Spark within the Databricks ecosystem\r\nHands-on experience with Databricks, including Delta Lake, Spark notebooks, and Unity Catalog in production environments\r\nFamiliarity with cloud data platforms (e.g., Azure, AWS)\r\nSolid understanding of ETL/ELT processes and pipeline orchestration\r\nExperience with DataOps processes and tools such as Databricks Asset Bundles (DABs) and using version control systems like Git\r\nStrong communication and problem-solving skills\r\nProactive in seeking opportunities to learn and grow skillset\r\nPrior experience in a consulting or client-facing role\r\nPreferred:\r\nAdvanced Databricks experience including Databricks Workflows/Jobs, Lakeflow Connect, Delta Live Tables (DLT), and performance tuning at scale\r\nExperience with modern Data and ML workflow tools (e.g., Airflow, MLflow)\r\nFamiliarity with data visualization libraries or tools (e.g., matplotlib, Power BI, Tableau)\r\nUnderstanding of best practices in data modeling, data quality, and pipeline monitoringAdditional InformationEst. Salary Range (Colorado Only): $120,000-$140,000*\r\n*Disclaimer: In accordance with Colorado’s Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado. Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions.\r\nDevIQ Benefits Include:\r\nCompetitive financial compensation and utilization bonus plans\r\nMedical, Dental, Vision Insurance\r\n401k, With 4% Matching\r\nPaid Time Off\r\nHealth Savings Account (HSA)/Flexible Spending Account (FSA)\r\nShort-Term/Long-Term Disability Insurance\r\nBusiness funded Life Insurance Plan\r\nDynamic yet relaxed work atmosphere\r\nWide Variety of Growth Opportunities","company":"GrabJobs","rawCompany":"grabjobs","city":"Corpus Christi","state":"TX","isRemote":true,"isActive":false,"createdAt":"2026-07-13T01:14:29.843Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Databricks Data Engineer","description":"Company DescriptionDevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-market companies focused on reducing energy costs, curing disease, improving education, building smart cities, and more. From true innovation and synergetic cloud & technology partnerships to competitive full-time benefits and a strong team culture, DevIQ is a great place to work.\r\nAt DevIQ, you’ll:\r\nBuild your career with a supportive, inclusive team that appreciates people, creates value, embraces growth, and “owns the problem” as a team.\r\nEnjoy opportunities to learn, exposure to new industries, and building end-to-end solutions through meaningful work on active client projects.\r\nWork remotely and/or from our modern studio in downtown Denver.\r\nBring your unique perspective and experience to multi-disciplinary teams.\r\nCollaborate on and contribute to transformative digital experiences that touch millions of lives, watching your work make an impact.\r\nPlease note that you must be a U.S. citizen or eligible to work in the U.S. to be considered for this role, and third-party candidates will not be accepted.Job DescriptionWe are seeking a Databricks Data Engineer to join our growing team. In this role, you’ll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You’ll play a critical role in designing workflows that ingest, transform, clean, normalize, and augment data from various sources — leveraging Databricks Delta Lake, Unity Catalog, and Spark for production-grade pipelines.\r\nYou should be comfortable working in cloud-based environments — particularly Databricks — and have experience with structured and unstructured data. A strong command of SQL and Python is essential, along with hands-on experience using Databricks (Delta Lake, Spark notebooks, Unity Catalog), Pandas, Apache Spark, or similar data transformation frameworks.\r\nKey Responsibilities:\r\nDesign and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation\r\nWork with structured, semi-structured, and unstructured data across diverse environments\r\nDevelop approaches to source data from diverse platforms (flat files, databases, APIs, streams, etc.)\r\nDevelop and maintain data transformation workflows in Databricks using Delta Lake, Spark notebooks, and Unity Catalog\r\nCollaborate with cross-functional teams to gather data requirements and translate them into actionable data models\r\nPerform data quality checks and implement validation logic to ensure reliable outputs\r\nCreate basic visualizations to support validation, exploration, and stakeholder communication\r\nOptimize performance of pipelines in cloud and distributed computing environmentsQualificationsRequired:\r\n3+ years of hands-on production Databricks experience with SQL and Python in data engineering roles\r\nExperience with data transformation tools/frameworks such as DLT, dbt, and Apache Spark within the Databricks ecosystem\r\nHands-on experience with Databricks, including Delta Lake, Spark notebooks, and Unity Catalog in production environments\r\nFamiliarity with cloud data platforms (e.g., Azure, AWS)\r\nSolid understanding of ETL/ELT processes and pipeline orchestration\r\nExperience with DataOps processes and tools such as Databricks Asset Bundles (DABs) and using version control systems like Git\r\nStrong communication and problem-solving skills\r\nProactive in seeking opportunities to learn and grow skillset\r\nPrior experience in a consulting or client-facing role\r\nPreferred:\r\nAdvanced Databricks experience including Databricks Workflows/Jobs, Lakeflow Connect, Delta Live Tables (DLT), and performance tuning at scale\r\nExperience with modern Data and ML workflow tools (e.g., Airflow, MLflow)\r\nFamiliarity with data visualization libraries or tools (e.g., matplotlib, Power BI, Tableau)\r\nUnderstanding of best practices in data modeling, data quality, and pipeline monitoringAdditional InformationEst. Salary Range (Colorado Only): $120,000-$140,000*\r\n*Disclaimer: In accordance with Colorado’s Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado. Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions.\r\nDevIQ Benefits Include:\r\nCompetitive financial compensation and utilization bonus plans\r\nMedical, Dental, Vision Insurance\r\n401k, With 4% Matching\r\nPaid Time Off\r\nHealth Savings Account (HSA)/Flexible Spending Account (FSA)\r\nShort-Term/Long-Term Disability Insurance\r\nBusiness funded Life Insurance Plan\r\nDynamic yet relaxed work atmosphere\r\nWide Variety of Growth Opportunities","datePosted":"2026-07-13T01:14:29.843Z","dateModified":"2026-07-13T01:14:29.843Z","hiringOrganization":{"@type":"Organization","name":"GrabJobs","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Corpus Christi","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c6d2dee1ce0184d7e1bb4dfd"},"url":"https://jobsearcher.com/jobs/c6d2dee1ce0184d7e1bb4dfd"}}