{"schemaVersion":"jobsearcher.job.v1","id":"b1a17021c669c6c540246e4d","url":"https://jobsearcher.com/jobs/b1a17021c669c6c540246e4d","canonicalUrl":"https://jobsearcher.com/jobs/b1a17021c669c6c540246e4d","title":"Senior Data Engineer","description":"Summary\r\nCome join a company that strives for\r\nExtraordinary People and Exceptional Performance\r\n!\r\nChenega Services & Federal Solutions, LLC, a Chenega Professional Services' company, is looking for a\r\nSenior Data Engineer\r\nto join our team supporting the Centers for Disease Control and Prevention. In this position you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis-ready solutions that inform senior leadership decisions.\r\nYou will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization's analytical operations rest on a robust and secure foundation. This is a role for a highly technical and driven individual capable of building enterprise-grade data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision-making.\r\nYou will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization.\r\nOur company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.\r\nResponsibilities\r\nDesign, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL\r\nBuild, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)\r\nDevelop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems\r\nImplement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows\r\nCollaborate with cloud engineering teams to deploy and manage data solutions on Azure\r\nMonitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices\r\nDocument data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability\r\nQualifications\r\n8+ years of experience in data engineering, software engineering, or database architecture\r\n6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines\r\n2+ years of experience with cloud data ecosystems like Azure Data Factory\r\n1+ years of experience with modern data processing frameworks like Databricks\r\nExperience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)\r\nKnowledge of relational and NoSQL databases, data modeling, and schema design\r\nKnowledge of data governance, security, and compliance principles for enterprise data environments\r\nBachelor's degree in computer science, Engineering, Information Systems, or a related, quantitative field\r\nPreferred\r\nExperience with supporting key data engineering efforts in a government related environment\r\nExperience with collaborating with data scientists and analysts to define data models that meet evolving organizational goals\r\nKnowledge of IT infrastructure practices and data access methodologies\r\nKnowledge of advanced data security practices, governance policies, and compliance frameworks\r\nPrevious CDC Experience\r\nCertifications such as Azure Data Engineer Associate\r\nFinal salary determination based on skill-set, qualifications, and approved funding.\r\nMany of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:\r\nPaid Time Off\r\nPTO / Vacation - 5.67 hours accrued per pay period / 136 hours accrued annually\r\nPaid Holidays - 11\r\nCalifornia residents receive an additional 24 hours of sick leave a year\r\nHealth & Wellness\r\nMedical\r\nDental\r\nVision\r\nPrescription\r\nEmployee Assistance Program\r\nShort- & Long-Term Disability\r\nLife and AD&D Insurance\r\nSpending Account\r\nFlexible Spending Account\r\nHealth Savings Account\r\nHealth Reimbursement Account\r\nDependent Care Spending Account\r\nCommuter Benefits\r\nRetirement\r\n401k / 401a\r\nVoluntary Benefits\r\nHospital Indemnity\r\nCritical Illness\r\nAccident Insurance\r\nPet Insurance\r\nLegal Insurance\r\nID Theft Protection\r\nEstimated Salary/Wage\r\nUSD $115,000.00/Yr. Up to USD $125,000.00/Yr.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Louisiana","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-08-13T02:05:48.718Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Summary\r\nCome join a company that strives for\r\nExtraordinary People and Exceptional Performance\r\n!\r\nChenega Services & Federal Solutions, LLC, a Chenega Professional Services' company, is looking for a\r\nSenior Data Engineer\r\nto join our team supporting the Centers for Disease Control and Prevention. In this position you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis-ready solutions that inform senior leadership decisions.\r\nYou will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization's analytical operations rest on a robust and secure foundation. This is a role for a highly technical and driven individual capable of building enterprise-grade data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision-making.\r\nYou will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization.\r\nOur company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.\r\nResponsibilities\r\nDesign, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL\r\nBuild, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)\r\nDevelop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems\r\nImplement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows\r\nCollaborate with cloud engineering teams to deploy and manage data solutions on Azure\r\nMonitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices\r\nDocument data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability\r\nQualifications\r\n8+ years of experience in data engineering, software engineering, or database architecture\r\n6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines\r\n2+ years of experience with cloud data ecosystems like Azure Data Factory\r\n1+ years of experience with modern data processing frameworks like Databricks\r\nExperience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)\r\nKnowledge of relational and NoSQL databases, data modeling, and schema design\r\nKnowledge of data governance, security, and compliance principles for enterprise data environments\r\nBachelor's degree in computer science, Engineering, Information Systems, or a related, quantitative field\r\nPreferred\r\nExperience with supporting key data engineering efforts in a government related environment\r\nExperience with collaborating with data scientists and analysts to define data models that meet evolving organizational goals\r\nKnowledge of IT infrastructure practices and data access methodologies\r\nKnowledge of advanced data security practices, governance policies, and compliance frameworks\r\nPrevious CDC Experience\r\nCertifications such as Azure Data Engineer Associate\r\nFinal salary determination based on skill-set, qualifications, and approved funding.\r\nMany of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:\r\nPaid Time Off\r\nPTO / Vacation - 5.67 hours accrued per pay period / 136 hours accrued annually\r\nPaid Holidays - 11\r\nCalifornia residents receive an additional 24 hours of sick leave a year\r\nHealth & Wellness\r\nMedical\r\nDental\r\nVision\r\nPrescription\r\nEmployee Assistance Program\r\nShort- & Long-Term Disability\r\nLife and AD&D Insurance\r\nSpending Account\r\nFlexible Spending Account\r\nHealth Savings Account\r\nHealth Reimbursement Account\r\nDependent Care Spending Account\r\nCommuter Benefits\r\nRetirement\r\n401k / 401a\r\nVoluntary Benefits\r\nHospital Indemnity\r\nCritical Illness\r\nAccident Insurance\r\nPet Insurance\r\nLegal Insurance\r\nID Theft Protection\r\nEstimated Salary/Wage\r\nUSD $115,000.00/Yr. Up to USD $125,000.00/Yr.\r\nJ-18808-Ljbffr","datePosted":"2026-08-13T02:05:48.718Z","dateModified":"2026-08-13T02:05:48.718Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Louisiana","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b1a17021c669c6c540246e4d"},"url":"https://jobsearcher.com/jobs/b1a17021c669c6c540246e4d"}}