{"schemaVersion":"jobsearcher.job.v1","id":"66c698733ece2a599d97a65e","url":"https://jobsearcher.com/jobs/66c698733ece2a599d97a65e","canonicalUrl":"https://jobsearcher.com/jobs/66c698733ece2a599d97a65e","title":"Data Engineer","description":"Job Title: Data Engineer\nLocation: Phoenix, AZ(Hybrid)\nJob Type: FTE\n\nKey Responsibilities\nData Platform & Pipeline Development\nDesign, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.\nImplement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.\nWrite, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.\nDevelop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.\nData Operations & Reliability\nSupport and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.\nIdentify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.\nContribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.\nAgile Collaboration & Engineering Practices\nCollaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.\nParticipate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.\nApply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.\nClearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.\n\nRequirements\nRequired Qualifications\n5+ years of experience designing and building data solutions.\nStrong proficiency in SQL and Python for data analytics and transformation.\nHands-on experience with ETL pipeline development and automation.\nSolid understanding of data lake architecture and design principles.\nExperience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.\nComfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.\nAbility to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.\nStrong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.\n\nPreferred Qualifications\nExperience with Azure cloud services and cloud-based ETL tools.\nFamiliarity with data visualization tools such as Power BI or Tableau.\nUnderstanding of event-driven architectures, including queues, batch processing, and pub/sub models.\nExposure to NoSQL databases such as MongoDB or Cassandra.\nExperience working on product engineering teams delivering customer-facing or operationally critical systems.\nFamiliarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.\nExperience operating systems in production environments with uptime, reliability, and observability expectations.\n\nBonus Points For\nExperience in Data Science or Machine Learning, particularly in model deployment or feature engineering.\nExperience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.","company":"Stellar It Solutions","rawCompany":"stellar it solutions","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:49:04.463Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Job Title: Data Engineer\nLocation: Phoenix, AZ(Hybrid)\nJob Type: FTE\n\nKey Responsibilities\nData Platform & Pipeline Development\nDesign, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.\nImplement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.\nWrite, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.\nDevelop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.\nData Operations & Reliability\nSupport and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.\nIdentify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.\nContribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.\nAgile Collaboration & Engineering Practices\nCollaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.\nParticipate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.\nApply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.\nClearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.\n\nRequirements\nRequired Qualifications\n5+ years of experience designing and building data solutions.\nStrong proficiency in SQL and Python for data analytics and transformation.\nHands-on experience with ETL pipeline development and automation.\nSolid understanding of data lake architecture and design principles.\nExperience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.\nComfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.\nAbility to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.\nStrong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.\n\nPreferred Qualifications\nExperience with Azure cloud services and cloud-based ETL tools.\nFamiliarity with data visualization tools such as Power BI or Tableau.\nUnderstanding of event-driven architectures, including queues, batch processing, and pub/sub models.\nExposure to NoSQL databases such as MongoDB or Cassandra.\nExperience working on product engineering teams delivering customer-facing or operationally critical systems.\nFamiliarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.\nExperience operating systems in production environments with uptime, reliability, and observability expectations.\n\nBonus Points For\nExperience in Data Science or Machine Learning, particularly in model deployment or feature engineering.\nExperience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.","datePosted":"2026-04-14T10:49:04.463Z","dateModified":"2026-04-14T10:49:04.463Z","hiringOrganization":{"@type":"Organization","name":"Stellar It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"66c698733ece2a599d97a65e"},"url":"https://jobsearcher.com/jobs/66c698733ece2a599d97a65e"}}