{"schemaVersion":"jobsearcher.job.v1","id":"8aa4c62de7019b28f814ca35","url":"https://jobsearcher.com/jobs/8aa4c62de7019b28f814ca35","canonicalUrl":"https://jobsearcher.com/jobs/8aa4c62de7019b28f814ca35","title":"Data Engineer","description":"Description\n\nCompany Overview\n\nEstablished in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:\n\nAttitude – Optimistic, hopeful, and forward-thinking\nCompassionate Teamwork – Respectful collaboration through self-awareness and mutual understanding\nIntegrity – Doing the right thing, in the right way, for the right reasons\nVersatility – Adaptive and anticipatory problem-solving\nExcellence – Dedicated to raising the bar of quality and performance\nSummary\nThis is currently a remote position with participation twice year at an in-person workshop customer. We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you.\n\nKey Responsibilities\n\nBuild and optimize ETL data pipelines using Databricks and Apache Spark\nDevelop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources\nUtilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion\nUse APIs for seamless data exchange and automation across systems\nManage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]\nLeverage Microsoft 365 tools for documentation and collaboration\nDevelop and maintain Amazon Web Services (AWS) including S3\nFully utilize the Microsoft 365 environment for cross-functional data sharing and productivity\nUse Jira to track and manage issues, tasks, and project workflows\nCollaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas\nLeverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes\nBuild and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback\n\nSkills, Knowledge and Expertise\n\nEducation:\nBachelor’s degree in computer science, engineering, or a related field\nTechnical skills, hands-on experience and proficiency with:\nDatabricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)\nSQL for querying and managing relational data (4 years preferred)\nAWS cloud services, including S3 (3 years preferred)\nPython for data analysis, cleansing, and visualization (4 years preferred)\nSharePoint lists, document libraries, and Microsoft Graph\nMicrosoft 365 apps and integration workflows\nDeveloping and consuming APIs for data exchange between different systems\nJira or other agile workflow management systems for issue and project tracking\nRelationship Management and Teamwork:\nProven ability to build trust and maintain strong partnerships with customers and stakeholders\nTakes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise\nMeticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables\nThrives in cross-functional environments, fostering open communication and teamwork across diverse groups\nRapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings\nAbility to work collaboratively with a diverse team of contractors and government personnel\nAbility to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations\nSkilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules\nPreferred Licenses/Certifications:\nAWS Certified Solutions Architect\nDatabricks Certified Data Engineer\nU.S federal government security clearance\n\nBenefits\n\n401(k)\n401(k) matching\nDental insurance\nFlexible spending account\nHealth insurance\nHealth savings account\nLife insurance\nPaid time off\nReferral program\nTuition reimbursement\nVision insurance\n\nAbout LDSS Corp\nWe specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.","company":"Ldss","rawCompany":"ldss","city":"Dayton","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-23T13:22:26.869Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer","description":"Description\n\nCompany Overview\n\nEstablished in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:\n\nAttitude – Optimistic, hopeful, and forward-thinking\nCompassionate Teamwork – Respectful collaboration through self-awareness and mutual understanding\nIntegrity – Doing the right thing, in the right way, for the right reasons\nVersatility – Adaptive and anticipatory problem-solving\nExcellence – Dedicated to raising the bar of quality and performance\nSummary\nThis is currently a remote position with participation twice year at an in-person workshop customer. We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you.\n\nKey Responsibilities\n\nBuild and optimize ETL data pipelines using Databricks and Apache Spark\nDevelop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources\nUtilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion\nUse APIs for seamless data exchange and automation across systems\nManage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]\nLeverage Microsoft 365 tools for documentation and collaboration\nDevelop and maintain Amazon Web Services (AWS) including S3\nFully utilize the Microsoft 365 environment for cross-functional data sharing and productivity\nUse Jira to track and manage issues, tasks, and project workflows\nCollaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas\nLeverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes\nBuild and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback\n\nSkills, Knowledge and Expertise\n\nEducation:\nBachelor’s degree in computer science, engineering, or a related field\nTechnical skills, hands-on experience and proficiency with:\nDatabricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)\nSQL for querying and managing relational data (4 years preferred)\nAWS cloud services, including S3 (3 years preferred)\nPython for data analysis, cleansing, and visualization (4 years preferred)\nSharePoint lists, document libraries, and Microsoft Graph\nMicrosoft 365 apps and integration workflows\nDeveloping and consuming APIs for data exchange between different systems\nJira or other agile workflow management systems for issue and project tracking\nRelationship Management and Teamwork:\nProven ability to build trust and maintain strong partnerships with customers and stakeholders\nTakes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise\nMeticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables\nThrives in cross-functional environments, fostering open communication and teamwork across diverse groups\nRapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings\nAbility to work collaboratively with a diverse team of contractors and government personnel\nAbility to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations\nSkilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules\nPreferred Licenses/Certifications:\nAWS Certified Solutions Architect\nDatabricks Certified Data Engineer\nU.S federal government security clearance\n\nBenefits\n\n401(k)\n401(k) matching\nDental insurance\nFlexible spending account\nHealth insurance\nHealth savings account\nLife insurance\nPaid time off\nReferral program\nTuition reimbursement\nVision insurance\n\nAbout LDSS Corp\nWe specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.","datePosted":"2026-07-23T13:22:26.869Z","dateModified":"2026-07-23T13:22:26.869Z","hiringOrganization":{"@type":"Organization","name":"Ldss","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dayton","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8aa4c62de7019b28f814ca35"},"url":"https://jobsearcher.com/jobs/8aa4c62de7019b28f814ca35"}}