{"schemaVersion":"jobsearcher.job.v1","id":"9d96ee6f68c8c2d9f614f46b","url":"https://jobsearcher.com/jobs/9d96ee6f68c8c2d9f614f46b","canonicalUrl":"https://jobsearcher.com/jobs/9d96ee6f68c8c2d9f614f46b","title":"Data Analytics Engineer","description":"If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.\nFull Time Regular Technical Austin, TX, US\n2 days ago Requisition ID: 2314\nSUMMARY OF PURPOSE: The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives.\nESSENTIAL FUNCTIONS: Design, develop, and maintain ETL/ELT processes for ingesting,transforming, and integrating data from multiple sources.\nBuild and optimize data pipelines to ensure data quality, reliability, and performance.\nDevelop and maintain enterprise data models, data warehouses, and data marts.\nMonitor and troubleshoot data workflows and resolve data-related issues.\nAnalytics & Reporting Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools.\nTranslate business requirements into scalable analytical solutions.\nDevelop KPIs, metrics, and reporting frameworks to measure business performance.\nSupport ad hoc data analysis and reporting requests.\nData Governance & Quality Implement data quality controls and validation processes.\nEnsure compliance with organizational data governance policies and security standards.\nMaintain data dictionaries, metadata, and documentation.\nPromote best practices for data management and analytics.\nCollaboration & Business Partnership Partner with business stakeholders to understand reporting and analytical needs.\nWork closely with application teams and business process owners to improve data accessibility and usability.\nProvide technical guidance and mentoring to analysts and other team members.\nPresent analytical findings and recommendations to leadership.\nPOSITION REQUIREMENTS - REQUIRED QUALIFICATIONS: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.\n3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles.\nStrong SQL development and database management skills.\nExperience with data warehouse technologies and cloud data platforms.\nProficiency in Python, SQL, or other data processing languages.\nExperience with BI and visualization tools such as Sigma, Tableau, or similar platforms.\nKnowledge of ETL/ELT frameworks and data integration methodologies.\nPREFERRED QUALIFICATIONS: Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.\nUnderstanding of data governance and master data management practices.\nExperience working in Agile environments.\nRelevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies.\nKEY COMPETENCIES: Analytical thinking and problem-solving\nData modeling and architecture\nStakeholder communication\nProcess improvement\nProject management and prioritization\nCollaboration and teamwork\nSUCCESS MEASURES: Delivery of reliable and scalable analytics solutions.\nImprovement in data quality and reporting accuracy.\nIncreased adoption of self-service analytics capabilities.\nTimely delivery of data and analytics initiatives aligned with business goals.\nPHI ACCESS: This position requires access to PHI due to reporting and data content\n\n#J-18808-Ljbffr","company":"ADP","rawCompany":"adp","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-31T03:17:49.645Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"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":"If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.\nFull Time Regular Technical Austin, TX, US\n2 days ago Requisition ID: 2314\nSUMMARY OF PURPOSE: The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives.\nESSENTIAL FUNCTIONS: Design, develop, and maintain ETL/ELT processes for ingesting,transforming, and integrating data from multiple sources.\nBuild and optimize data pipelines to ensure data quality, reliability, and performance.\nDevelop and maintain enterprise data models, data warehouses, and data marts.\nMonitor and troubleshoot data workflows and resolve data-related issues.\nAnalytics & Reporting Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools.\nTranslate business requirements into scalable analytical solutions.\nDevelop KPIs, metrics, and reporting frameworks to measure business performance.\nSupport ad hoc data analysis and reporting requests.\nData Governance & Quality Implement data quality controls and validation processes.\nEnsure compliance with organizational data governance policies and security standards.\nMaintain data dictionaries, metadata, and documentation.\nPromote best practices for data management and analytics.\nCollaboration & Business Partnership Partner with business stakeholders to understand reporting and analytical needs.\nWork closely with application teams and business process owners to improve data accessibility and usability.\nProvide technical guidance and mentoring to analysts and other team members.\nPresent analytical findings and recommendations to leadership.\nPOSITION REQUIREMENTS - REQUIRED QUALIFICATIONS: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.\n3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles.\nStrong SQL development and database management skills.\nExperience with data warehouse technologies and cloud data platforms.\nProficiency in Python, SQL, or other data processing languages.\nExperience with BI and visualization tools such as Sigma, Tableau, or similar platforms.\nKnowledge of ETL/ELT frameworks and data integration methodologies.\nPREFERRED QUALIFICATIONS: Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.\nUnderstanding of data governance and master data management practices.\nExperience working in Agile environments.\nRelevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies.\nKEY COMPETENCIES: Analytical thinking and problem-solving\nData modeling and architecture\nStakeholder communication\nProcess improvement\nProject management and prioritization\nCollaboration and teamwork\nSUCCESS MEASURES: Delivery of reliable and scalable analytics solutions.\nImprovement in data quality and reporting accuracy.\nIncreased adoption of self-service analytics capabilities.\nTimely delivery of data and analytics initiatives aligned with business goals.\nPHI ACCESS: This position requires access to PHI due to reporting and data content\n\n#J-18808-Ljbffr","datePosted":"2026-08-31T03:17:49.645Z","dateModified":"2026-08-31T03:17:49.645Z","hiringOrganization":{"@type":"Organization","name":"ADP","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9d96ee6f68c8c2d9f614f46b"},"url":"https://jobsearcher.com/jobs/9d96ee6f68c8c2d9f614f46b"}}