{"schemaVersion":"jobsearcher.job.v1","id":"7bcc5d1d999aaae02c2a145c","url":"https://jobsearcher.com/jobs/7bcc5d1d999aaae02c2a145c","canonicalUrl":"https://jobsearcher.com/jobs/7bcc5d1d999aaae02c2a145c","title":"Data Infrastructure Engineer","description":"Job Family:\n\nSoftware Development & Support\n\nTravel Required:\n\nNone\n\nClearance Required:\n\nAbility to Obtain Public Trust\n\nWe are seeking a Data Infrastructure Engineer to build and operate the data platform that powers AI/ML analytics modules. You will design and implement scalable data ingestion pipelines, robust ETL/ELT, and a modern data lake / delta lake (lakehouse) on AWS. You’ll also establish a managed metadata repository and governance layers (catalog, lineage, quality, access controls) and deliver automated cloud provisioning plus CI/CD for data pipelines to enable reliable, repeatable deployments across environments.\n\nThis role is ideal for an engineer who enjoys platform building, automation, and enabling advanced analytics through trusted, well-governed data.\n\nWhat You Will Do:\n\nBuild & Operate Data Pipelines (Batch + Streaming)\n\nDesign and implement batch and streaming ingestion from APIs, relational databases, file drops, event streams, and external partners.\n\nBuild and optimize ETL/ELT pipelines to produce curated, analytics-ready datasets for reporting and ML consumption.\n\nImplement incremental processing patterns, change data capture (CDC) approaches where appropriate, and data contract standards.\n\nDeliver a Modern Lakehouse (Data Lake / Delta Lake)\n\nBuild and manage a scalable lakehouse on AWS object storage (e.g., S3) using open table/file formats and delta/lakehouse concepts (e.g., ACID tables, schema evolution, time travel patterns).\n\nOptimize performance and cost through partitioning, compaction, lifecycle policies, and efficient compute/storage usage.\n\nEstablish environment standards for dev/test/prod and consistent promotion across stages.\n\nMetadata, Governance, Lineage & Quality (Trust Layer)\n\nImplement a managed metadata repository for dataset cataloging, ownership, glossary/definitions, tagging, and discoverability.\n\nEnable end-to-end lineage (source transformations consumption) to support auditability and impact analysis.\n\nImplement governance controls including policy-based access, data classification, retention, and secure data handling.\n\nBuild operational data quality checks (freshness, completeness, validity, anomaly detection) and publish SLAs/SLOs.\n\nAWS Automation + CI/CD for Data Pipelines\n\nImplement automated cloud provisioning in AWS using Infrastructure as Code (IaC) for consistent environments and secure-by-default baselines.\n\nBuild and enhance CI/CD for data pipelines, including automated tests, validation gates, promotion workflows, and rollback strategies.\n\nImprove observability with metrics/logs/alerts, dashboards, runbooks, and incident response readiness.\n\nCross-Team Collaboration & Documentation\n\nWork closely with engineering, security, networking, and application teams to support mission needs and delivery timelines.\n\nMaintain high-quality engineering documentation including SOPs, system diagrams, and secure configuration baselines.\n\nSummarize and present findings and recommendations—both written and verbal—to technical and non-technical stakeholders.\n\nWhat You Will Need:\n\nMust be able to OBTAIN and MAINTAIN a Federal or DoD \"PUBLIC TRUST\"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.\n\nBachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).\n\nMinimum of SIX (6) years experience building production data pipelines and/or data platforms.\n\nStrong experience implementing data ingestion and ETL/ELT workflows, including data modeling and transformation best practices.\n\nHands-on experience building a data lake / delta lake (lakehouse) on AWS (or equivalent cloud) using object storage and modern table formats/patterns.\n\nProficiency in SQL and one programming language commonly used for data engineering (Python preferred; Scala/Java acceptable).\n\nExperience with metadata management and governance: cataloging, lineage, ownership, access controls, classification and policy enforcement.\n\nExperience implementing automated AWS provisioning using IaC and operating across multiple environments.\n\nExperience building or operating CI/CD pipelines for data workflows (testing, packaging, deployment automation, environment promotion).\n\nSolid security fundamentals: IAM/least privilege, encryption, secrets management, secure SDLC practices.\n\nWhat Would Be Nice To Have:\n\nHands-on experience with Databricks\n\nHands-on experience utilizing modern DevOps practices, including tools like Git, Terraform, Jenkins, AWS CodePipeline, and Docker.\n\nExperience utilizing AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Cursor, Kiro) to safely accelerate implementation while maintaining strict code quality through testing, code reviews, and security practices.\n\nKnowledge graph and Graph RAG experience, including:\n\nGraph modeling and ontology/taxonomy alignment\n\nEntity resolution and relationship extraction\n\nHybrid retrieval approaches combining graph traversal with semantic/vector search to improve grounding and explainability\n\nThe annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n\nWhat We Offer:\n\nGuidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.\n\nBenefits include:\n\nMedical, Rx, Dental & Vision Insurance\n\nPersonal and Family Sick Time & Company Paid Holidays\n\nParental Leave\n\n401(k) Retirement Plan\n\nGroup Term Life and Travel Assistance\n\nVoluntary Life and AD&D Insurance\n\nHealth Savings Account, Health Care & Dependent Care Flexible Spending Accounts\n\nTransit and Parking Commuter Benefits\n\nShort-Term & Long-Term Disability\n\nTuition Reimbursement, Personal Development, Certifications & Learning Opportunities\n\nEmployee Referral Program\n\nCorporate Sponsored Events & Community Outreach\n\nCare.com annual membership\n\nEmployee Assistance Program\n\nSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)\n\nPosition may be eligible for a discretionary variable incentive bonus\n\nAbout Guidehouse\n\nGuidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\n\nGuidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.\n\nIf you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.\n\nAll communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.\n\nIf any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.\n\nGuidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.","company":"Guidehouse Digital","rawCompany":"guidehouse digital","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T18:27:30.624Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Infrastructure Engineer","description":"Job Family:\n\nSoftware Development & Support\n\nTravel Required:\n\nNone\n\nClearance Required:\n\nAbility to Obtain Public Trust\n\nWe are seeking a Data Infrastructure Engineer to build and operate the data platform that powers AI/ML analytics modules. You will design and implement scalable data ingestion pipelines, robust ETL/ELT, and a modern data lake / delta lake (lakehouse) on AWS. You’ll also establish a managed metadata repository and governance layers (catalog, lineage, quality, access controls) and deliver automated cloud provisioning plus CI/CD for data pipelines to enable reliable, repeatable deployments across environments.\n\nThis role is ideal for an engineer who enjoys platform building, automation, and enabling advanced analytics through trusted, well-governed data.\n\nWhat You Will Do:\n\nBuild & Operate Data Pipelines (Batch + Streaming)\n\nDesign and implement batch and streaming ingestion from APIs, relational databases, file drops, event streams, and external partners.\n\nBuild and optimize ETL/ELT pipelines to produce curated, analytics-ready datasets for reporting and ML consumption.\n\nImplement incremental processing patterns, change data capture (CDC) approaches where appropriate, and data contract standards.\n\nDeliver a Modern Lakehouse (Data Lake / Delta Lake)\n\nBuild and manage a scalable lakehouse on AWS object storage (e.g., S3) using open table/file formats and delta/lakehouse concepts (e.g., ACID tables, schema evolution, time travel patterns).\n\nOptimize performance and cost through partitioning, compaction, lifecycle policies, and efficient compute/storage usage.\n\nEstablish environment standards for dev/test/prod and consistent promotion across stages.\n\nMetadata, Governance, Lineage & Quality (Trust Layer)\n\nImplement a managed metadata repository for dataset cataloging, ownership, glossary/definitions, tagging, and discoverability.\n\nEnable end-to-end lineage (source transformations consumption) to support auditability and impact analysis.\n\nImplement governance controls including policy-based access, data classification, retention, and secure data handling.\n\nBuild operational data quality checks (freshness, completeness, validity, anomaly detection) and publish SLAs/SLOs.\n\nAWS Automation + CI/CD for Data Pipelines\n\nImplement automated cloud provisioning in AWS using Infrastructure as Code (IaC) for consistent environments and secure-by-default baselines.\n\nBuild and enhance CI/CD for data pipelines, including automated tests, validation gates, promotion workflows, and rollback strategies.\n\nImprove observability with metrics/logs/alerts, dashboards, runbooks, and incident response readiness.\n\nCross-Team Collaboration & Documentation\n\nWork closely with engineering, security, networking, and application teams to support mission needs and delivery timelines.\n\nMaintain high-quality engineering documentation including SOPs, system diagrams, and secure configuration baselines.\n\nSummarize and present findings and recommendations—both written and verbal—to technical and non-technical stakeholders.\n\nWhat You Will Need:\n\nMust be able to OBTAIN and MAINTAIN a Federal or DoD \"PUBLIC TRUST\"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.\n\nBachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).\n\nMinimum of SIX (6) years experience building production data pipelines and/or data platforms.\n\nStrong experience implementing data ingestion and ETL/ELT workflows, including data modeling and transformation best practices.\n\nHands-on experience building a data lake / delta lake (lakehouse) on AWS (or equivalent cloud) using object storage and modern table formats/patterns.\n\nProficiency in SQL and one programming language commonly used for data engineering (Python preferred; Scala/Java acceptable).\n\nExperience with metadata management and governance: cataloging, lineage, ownership, access controls, classification and policy enforcement.\n\nExperience implementing automated AWS provisioning using IaC and operating across multiple environments.\n\nExperience building or operating CI/CD pipelines for data workflows (testing, packaging, deployment automation, environment promotion).\n\nSolid security fundamentals: IAM/least privilege, encryption, secrets management, secure SDLC practices.\n\nWhat Would Be Nice To Have:\n\nHands-on experience with Databricks\n\nHands-on experience utilizing modern DevOps practices, including tools like Git, Terraform, Jenkins, AWS CodePipeline, and Docker.\n\nExperience utilizing AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Cursor, Kiro) to safely accelerate implementation while maintaining strict code quality through testing, code reviews, and security practices.\n\nKnowledge graph and Graph RAG experience, including:\n\nGraph modeling and ontology/taxonomy alignment\n\nEntity resolution and relationship extraction\n\nHybrid retrieval approaches combining graph traversal with semantic/vector search to improve grounding and explainability\n\nThe annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n\nWhat We Offer:\n\nGuidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.\n\nBenefits include:\n\nMedical, Rx, Dental & Vision Insurance\n\nPersonal and Family Sick Time & Company Paid Holidays\n\nParental Leave\n\n401(k) Retirement Plan\n\nGroup Term Life and Travel Assistance\n\nVoluntary Life and AD&D Insurance\n\nHealth Savings Account, Health Care & Dependent Care Flexible Spending Accounts\n\nTransit and Parking Commuter Benefits\n\nShort-Term & Long-Term Disability\n\nTuition Reimbursement, Personal Development, Certifications & Learning Opportunities\n\nEmployee Referral Program\n\nCorporate Sponsored Events & Community Outreach\n\nCare.com annual membership\n\nEmployee Assistance Program\n\nSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)\n\nPosition may be eligible for a discretionary variable incentive bonus\n\nAbout Guidehouse\n\nGuidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\n\nGuidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.\n\nIf you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.\n\nAll communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.\n\nIf any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.\n\nGuidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.","datePosted":"2026-08-04T18:27:30.624Z","dateModified":"2026-08-04T18:27:30.624Z","hiringOrganization":{"@type":"Organization","name":"Guidehouse Digital","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7bcc5d1d999aaae02c2a145c"},"url":"https://jobsearcher.com/jobs/7bcc5d1d999aaae02c2a145c"}}