{"schemaVersion":"jobsearcher.job.v1","id":"86b2076632704144471822b7","url":"https://jobsearcher.com/jobs/86b2076632704144471822b7","canonicalUrl":"https://jobsearcher.com/jobs/86b2076632704144471822b7","title":"Data Analytics Engineer","description":"We are working with a leading technology services firm dedicated to enhancing the nationwide tech community by connecting top talent with innovative projects. They partner with diverse clients to deliver impactful enterprise solutions, fostering growth and success.The Role Design, develop, and support scalable enterprise data pipelines for reporting, analytics, and business applications Build and optimize cloud-based data solutions integrating information from various sources like APIs, databases, and streaming platforms Develop and maintain modern data platforms using Databricks, Spark technologies, and cloud data engineering best practices Partner with developers, analysts, and stakeholders to create reusable data products and support business-critical applications Implement data quality controls, monitoring, metadata management, and documentation for trusted data assets Participate in Agile delivery, solution design, CI/CD processes, and continuous improvement initiativesWhat You'll Need 3-7 years of experience in Data Engineering, Analytics Engineering, or Software Development with a focus on enterprise data solutions Strong experience designing and developing ETL/ELT pipelines, data integration frameworks, and cloud-based data platforms Hands-on experience with Databricks, including PySpark, Spark SQL, Delta Lake, and modern lakehouse architectures Experience building data ingestion pipelines using tools like Azure Data Factory, APIs, SQL databases, or Kafka Strong programming experience with Python and SQL, along with knowledge of relational databases and data warehousing concepts Experience with source control and DevOps tools such as GitHub and Azure DevOps, including CI/CD best practicesWhat's On Offer Opportunity to work on a long-term contract within a dynamic environment Hybrid work model based in Atlanta, GA Contribute to enhancing technology services for a broad community Work with cutting-edge cloud-based data solutions and modern data platformsApply via Haystack today!","company":"Haystack","rawCompany":"haystack","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T12:05:16.972Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer","description":"We are working with a leading technology services firm dedicated to enhancing the nationwide tech community by connecting top talent with innovative projects. They partner with diverse clients to deliver impactful enterprise solutions, fostering growth and success.The Role Design, develop, and support scalable enterprise data pipelines for reporting, analytics, and business applications Build and optimize cloud-based data solutions integrating information from various sources like APIs, databases, and streaming platforms Develop and maintain modern data platforms using Databricks, Spark technologies, and cloud data engineering best practices Partner with developers, analysts, and stakeholders to create reusable data products and support business-critical applications Implement data quality controls, monitoring, metadata management, and documentation for trusted data assets Participate in Agile delivery, solution design, CI/CD processes, and continuous improvement initiativesWhat You'll Need 3-7 years of experience in Data Engineering, Analytics Engineering, or Software Development with a focus on enterprise data solutions Strong experience designing and developing ETL/ELT pipelines, data integration frameworks, and cloud-based data platforms Hands-on experience with Databricks, including PySpark, Spark SQL, Delta Lake, and modern lakehouse architectures Experience building data ingestion pipelines using tools like Azure Data Factory, APIs, SQL databases, or Kafka Strong programming experience with Python and SQL, along with knowledge of relational databases and data warehousing concepts Experience with source control and DevOps tools such as GitHub and Azure DevOps, including CI/CD best practicesWhat's On Offer Opportunity to work on a long-term contract within a dynamic environment Hybrid work model based in Atlanta, GA Contribute to enhancing technology services for a broad community Work with cutting-edge cloud-based data solutions and modern data platformsApply via Haystack today!","datePosted":"2026-08-22T12:05:16.972Z","dateModified":"2026-08-22T12:05:16.972Z","hiringOrganization":{"@type":"Organization","name":"Haystack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"86b2076632704144471822b7"},"url":"https://jobsearcher.com/jobs/86b2076632704144471822b7"}}