{"schemaVersion":"jobsearcher.job.v1","id":"e2ecc960e7aee17d9eac3f8a","url":"https://jobsearcher.com/jobs/e2ecc960e7aee17d9eac3f8a","canonicalUrl":"https://jobsearcher.com/jobs/e2ecc960e7aee17d9eac3f8a","title":"Senior Data Engineer","description":"We are seeking a Senior Data Analyst / Engineer who can take ownership of our data architecture and elevate the organization's analytical capability. This role exists to strengthen the reliability, scalability, and strategic value of our data systems while reducing manual processes and increasing clarity in decision-making. We need a technical leader who designs durable systems, anticipates complexity, and builds infrastructure that supports organizational growth. The right candidate will raise standards, improve structure, and ensure data is a strategic asset rather than a reactive function.\r\nJob Summary\r\nThe Senior Data Engineer will architect and maintain scalable data pipelines, design performant relational models, and deliver high-impact analytical insights that influence business direction. This role blends hands-on engineering with advanced analytics and requires the ability to translate ambiguous business problems into structured, data-driven solutions. Operating with autonomy, this individual will shape data architecture decisions, implement governance and quality controls, and continuously improve how information is structured and consumed across the organization. Over time, this role will help define the long-term direction of the data function and support the development of a high-performing data capability.\r\nResponsibilities\r\nArchitect, build, and maintain scalable ETL/ELT pipelines that support operational and analytical workloads\r\nDesign and optimize relational data models for performance, integrity, and long-term maintainability\r\nOwn SQL performance tuning, indexing strategies, and execution plan analysis across large datasets\r\nEstablish data validation, monitoring, and quality controls to ensure reliability and traceability\r\nTranslate ambiguous business problems into structured analytical frameworks and deliver executive-ready insights that inform strategic decisions\r\nAutomate manual reporting processes and improve efficiency through durable technical solutions\r\nDefine and enforce standards for data structure, naming conventions, documentation, and governance\r\nIdentify systemic weaknesses in current data processes and implement corrective architectural improvements\r\nCollaborate with engineering and DevOps to ensure cloud-based data infrastructure is secure, scalable, and resilient\r\nMentor analysts and elevate technical standards across the data function\r\nContribute to roadmap discussions by providing data-informed perspective and forward-looking insight\r\nOperate with a high degree of autonomy and take ownership of outcomes, not just assigned tasks\r\nAnticipate data needs and structural challenges before they become operational constraints\r\nDesign solutions that are durable, scalable, and aligned with long-term organizational growth\r\nElevate standards for data quality, modeling, documentation, and reproducibility\r\nMove beyond reactive reporting to proactive insight generation\r\nDemonstrate sound architectural judgment when balancing performance, complexity, and maintainability\r\nCommunicate analytical findings clearly and concisely to both technical and executive audiences\r\nInfluence decision-making through rigorous analysis and thoughtful interpretation\r\nHold yourself accountable for measurable impact and continuous improvement\r\nContribute to strengthening the overall data capability of the organization through mentorship and example\r\nKnowledge and Skill Requirements\r\nAdvanced SQL expertise, including window functions, CTEs, performance tuning, and execution plan analysis\r\nStrong understanding of relational database design, normalization principles, and data modeling techniques\r\nExperience designing, building, and maintaining production-grade ETL/ELT pipelines\r\nProficiency in working with cloud-based data environments and services\r\nDeep understanding of data integrity, validation strategies, and quality control frameworks\r\nAbility to structure ambiguous business problems into measurable analytical approaches\r\nStrong analytical reasoning and quantitative problem-solving skills\r\nExperience automating data workflows and reducing manual operational dependencies\r\nAbility to design systems with scalability, reliability, and maintainability in mind\r\nClear and precise written and verbal communication skills\r\nStrong documentation practices to ensure reproducibility and knowledge transfer\r\nAbility to mentor and guide junior analysts or engineers on technical best practices\r\nExperience with the Following Technologies (Strongly Preferred)\r\nData orchestration and transformation platforms\r\nBusiness intelligence and visualization tools (e.g., Power BI)\r\nStreaming or near-real-time data processing frameworks\r\nAdditional Desirable Knowledge and Skills\r\nExperience contributing to long-term data strategy or roadmap planning\r\nExperience implementing formal data governance, lineage, or data quality programs\r\nExperience supporting executive decision-making with structured, high-impact analysis\r\nDemonstrated ability to evaluate technical tradeoffs and guide architectural decisions\r\nQualifications\r\nBachelor's degree in Data Analytics, Computer Science, or a related field (or equivalent professional experience)\r\n7+ years of progressive experience in data analytics, data engineering, or a hybrid role with increasing scope and responsibility\r\nDemonstrated experience owning data solutions from architecture through production support\r\nProven track record of delivering analytical insights that influenced operational or strategic decisions\r\nExperience working in collaborative environments alongside software engineering and technical leadership teams.\r\nMust be able to work in a hybrid capacity, including attending in-person meetings at an Aegis office location as business needs require\r\nWhy You'll Want to Work with Aegis\r\nAegis is an innovative, diverse, and dynamic company with tightly woven teams constantly exploring new ways to produce advantages for our clients. With offices in Maryland, Virginia, Alabama, and Sydney Australia, we provide opportunities to work in a variety of settings and use the collaborative brainpower around you to ask and answer interesting questions. We have a broad range of backgrounds and interests: experts in fields such as finance, real estate, politics, and naval engineering, come together to make an intriguing and educational work environment. We value independent thinkers who enjoy solving complex problems and building durable systems that matter. We offer excellent benefits and competitive salaries.\r\nJ-18808-Ljbffr","company":"Aegis Mobile","rawCompany":"aegis mobile","city":"Mobile","state":"AL","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:34:59.463Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","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":"Senior Data Engineer","description":"We are seeking a Senior Data Analyst / Engineer who can take ownership of our data architecture and elevate the organization's analytical capability. This role exists to strengthen the reliability, scalability, and strategic value of our data systems while reducing manual processes and increasing clarity in decision-making. We need a technical leader who designs durable systems, anticipates complexity, and builds infrastructure that supports organizational growth. The right candidate will raise standards, improve structure, and ensure data is a strategic asset rather than a reactive function.\r\nJob Summary\r\nThe Senior Data Engineer will architect and maintain scalable data pipelines, design performant relational models, and deliver high-impact analytical insights that influence business direction. This role blends hands-on engineering with advanced analytics and requires the ability to translate ambiguous business problems into structured, data-driven solutions. Operating with autonomy, this individual will shape data architecture decisions, implement governance and quality controls, and continuously improve how information is structured and consumed across the organization. Over time, this role will help define the long-term direction of the data function and support the development of a high-performing data capability.\r\nResponsibilities\r\nArchitect, build, and maintain scalable ETL/ELT pipelines that support operational and analytical workloads\r\nDesign and optimize relational data models for performance, integrity, and long-term maintainability\r\nOwn SQL performance tuning, indexing strategies, and execution plan analysis across large datasets\r\nEstablish data validation, monitoring, and quality controls to ensure reliability and traceability\r\nTranslate ambiguous business problems into structured analytical frameworks and deliver executive-ready insights that inform strategic decisions\r\nAutomate manual reporting processes and improve efficiency through durable technical solutions\r\nDefine and enforce standards for data structure, naming conventions, documentation, and governance\r\nIdentify systemic weaknesses in current data processes and implement corrective architectural improvements\r\nCollaborate with engineering and DevOps to ensure cloud-based data infrastructure is secure, scalable, and resilient\r\nMentor analysts and elevate technical standards across the data function\r\nContribute to roadmap discussions by providing data-informed perspective and forward-looking insight\r\nOperate with a high degree of autonomy and take ownership of outcomes, not just assigned tasks\r\nAnticipate data needs and structural challenges before they become operational constraints\r\nDesign solutions that are durable, scalable, and aligned with long-term organizational growth\r\nElevate standards for data quality, modeling, documentation, and reproducibility\r\nMove beyond reactive reporting to proactive insight generation\r\nDemonstrate sound architectural judgment when balancing performance, complexity, and maintainability\r\nCommunicate analytical findings clearly and concisely to both technical and executive audiences\r\nInfluence decision-making through rigorous analysis and thoughtful interpretation\r\nHold yourself accountable for measurable impact and continuous improvement\r\nContribute to strengthening the overall data capability of the organization through mentorship and example\r\nKnowledge and Skill Requirements\r\nAdvanced SQL expertise, including window functions, CTEs, performance tuning, and execution plan analysis\r\nStrong understanding of relational database design, normalization principles, and data modeling techniques\r\nExperience designing, building, and maintaining production-grade ETL/ELT pipelines\r\nProficiency in working with cloud-based data environments and services\r\nDeep understanding of data integrity, validation strategies, and quality control frameworks\r\nAbility to structure ambiguous business problems into measurable analytical approaches\r\nStrong analytical reasoning and quantitative problem-solving skills\r\nExperience automating data workflows and reducing manual operational dependencies\r\nAbility to design systems with scalability, reliability, and maintainability in mind\r\nClear and precise written and verbal communication skills\r\nStrong documentation practices to ensure reproducibility and knowledge transfer\r\nAbility to mentor and guide junior analysts or engineers on technical best practices\r\nExperience with the Following Technologies (Strongly Preferred)\r\nData orchestration and transformation platforms\r\nBusiness intelligence and visualization tools (e.g., Power BI)\r\nStreaming or near-real-time data processing frameworks\r\nAdditional Desirable Knowledge and Skills\r\nExperience contributing to long-term data strategy or roadmap planning\r\nExperience implementing formal data governance, lineage, or data quality programs\r\nExperience supporting executive decision-making with structured, high-impact analysis\r\nDemonstrated ability to evaluate technical tradeoffs and guide architectural decisions\r\nQualifications\r\nBachelor's degree in Data Analytics, Computer Science, or a related field (or equivalent professional experience)\r\n7+ years of progressive experience in data analytics, data engineering, or a hybrid role with increasing scope and responsibility\r\nDemonstrated experience owning data solutions from architecture through production support\r\nProven track record of delivering analytical insights that influenced operational or strategic decisions\r\nExperience working in collaborative environments alongside software engineering and technical leadership teams.\r\nMust be able to work in a hybrid capacity, including attending in-person meetings at an Aegis office location as business needs require\r\nWhy You'll Want to Work with Aegis\r\nAegis is an innovative, diverse, and dynamic company with tightly woven teams constantly exploring new ways to produce advantages for our clients. With offices in Maryland, Virginia, Alabama, and Sydney Australia, we provide opportunities to work in a variety of settings and use the collaborative brainpower around you to ask and answer interesting questions. We have a broad range of backgrounds and interests: experts in fields such as finance, real estate, politics, and naval engineering, come together to make an intriguing and educational work environment. We value independent thinkers who enjoy solving complex problems and building durable systems that matter. We offer excellent benefits and competitive salaries.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:34:59.463Z","dateModified":"2026-04-09T15:34:59.463Z","hiringOrganization":{"@type":"Organization","name":"Aegis Mobile","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mobile","addressRegion":"AL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e2ecc960e7aee17d9eac3f8a"},"url":"https://jobsearcher.com/jobs/e2ecc960e7aee17d9eac3f8a"}}