{"schemaVersion":"jobsearcher.job.v1","id":"fc105d2efbd004cfe6d4ecf6","url":"https://jobsearcher.com/jobs/fc105d2efbd004cfe6d4ecf6","canonicalUrl":"https://jobsearcher.com/jobs/fc105d2efbd004cfe6d4ecf6","title":"Senior Data Engineer","description":"What You Will Do Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands‑on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission‑critical data solutions.\r\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.\r\nBuild and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.\r\nDevelop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.\r\nImplement and support cloud‑native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.\r\nDesign and implement CI/CD pipelines and DevOps best practices for data engineering workflows.\r\nCollaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.\r\nLead data integration, migration, and modernization initiatives, including legacy system transformation efforts.\r\nEnsure data quality, integrity, security, and governance standards are incorporated into solution designs.\r\nMonitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.\r\nMentor junior data engineers and support technical knowledge sharing across project teams.\r\nContribute to technical architecture discussions, technology evaluations, and engineering best practices.\r\nDevelop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.\r\nJob Family Data Science & Analysis\r\nTravel Required Up to 10%\r\nClearance Required Ability to Obtain Public Trust\r\nWhat You Will Do Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands‑on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission‑critical data solutions.\r\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.\r\nBuild and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.\r\nDevelop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.\r\nImplement and support cloud‑native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.\r\nDesign and implement CI/CD pipelines and DevOps best practices for data engineering workflows.\r\nCollaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.\r\nLead data integration, migration, and modernization initiatives, including legacy system transformation efforts.\r\nEnsure data quality, integrity, security, and governance standards are incorporated into solution designs.\r\nMonitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.\r\nMentor junior data engineers and support technical knowledge sharing across project teams.\r\nContribute to technical architecture discussions, technology evaluations, and engineering best practices.\r\nDevelop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.\r\nRole contingent upon contract award.\r\nWhat You Will Need U.S. Citizenship or Green Card is required AND must be able to OBTAIN and MAINTAIN a Federal or DHS \"PUBLIC TRUST\r\nBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.\r\nFOUR (4) or more years in data engineering, software engineering, analytics engineering, or a related discipline.\r\nExperience in Python, SQL, and data processing frameworks such as Spark or PySpark.\r\nExperience designing, developing, and supporting production‑grade data pipelines and ETL/ELT processes.\r\nExperience working with relational and non‑relational databases, including data modeling and query optimization.\r\nExperience with cloud platforms such as AWS and/or Azure.\r\nExperience with Databricks, Snowflake, or similar large‑scale data processing environments.\r\nExperience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps.\r\nExperience implementing data quality, monitoring, and operational support processes.\r\nExperience working within Agile software development environments.\r\nWhat Would Be Nice To Have Experience supporting federal, healthcare, public health, or other highly regulated environments.\r\nStrong analytical, troubleshooting, and problem‑solving skills.\r\nAbility to independently manage technical tasks and collaborate effectively across teams.\r\nExcellent verbal and written communication skills.\r\nFamiliarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.\r\nExperience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.\r\nExperience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.\r\nFamiliarity with modern data lakehouse architectures and data governance frameworks.\r\nExperience implementing Infrastructure‑as‑Code using Terraform, CloudFormation, or Bicep.\r\nExperience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch.\r\nCloud, Databricks, Snowflake, or related technical certifications.\r\nExperience supporting large‑scale data modernization or migration programs.\r\nExperience with machine learning data pipelines and AI‑enabled solutions.\r\nPrevious consulting or client‑facing experience.\r\nAnnual Salary Range The annual salary range for this position is $80,000.00-$133,000.00. 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.\r\nWhat We Offer Guidehouse 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.\r\nBenefits Include Medical, Rx, Dental & Vision Insurance\r\nPersonal and Family Sick Time & Company Paid Holidays\r\nParental Leave\r\n401(k) Retirement Plan\r\nGroup Term Life and Travel Assistance\r\nVoluntary Life and AD&D Insurance\r\nHealth Savings Account, Health Care & Dependent Care Flexible Spending Accounts\r\nTransit and Parking Commuter Benefits\r\nShort-Term & Long-Term Disability\r\nTuition Reimbursement, Personal Development, Certifications & Learning Opportunities\r\nEmployee Referral Program\r\nCorporate Sponsored Events & Community Outreach\r\nCare.com annual membership\r\nEmployee Assistance Program\r\nSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)\r\nPosition may be eligible for a discretionary variable incentive bonus\r\nAbout Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\r\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.\r\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.\r\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.\r\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.\r\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.#J-18808-Ljbffr","company":"Guidehouse","rawCompany":"guidehouse","city":"Beavercreek","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-18T01:08:48.228Z","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":"15-2051.00","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":"What You Will Do Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands‑on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission‑critical data solutions.\r\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.\r\nBuild and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.\r\nDevelop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.\r\nImplement and support cloud‑native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.\r\nDesign and implement CI/CD pipelines and DevOps best practices for data engineering workflows.\r\nCollaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.\r\nLead data integration, migration, and modernization initiatives, including legacy system transformation efforts.\r\nEnsure data quality, integrity, security, and governance standards are incorporated into solution designs.\r\nMonitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.\r\nMentor junior data engineers and support technical knowledge sharing across project teams.\r\nContribute to technical architecture discussions, technology evaluations, and engineering best practices.\r\nDevelop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.\r\nJob Family Data Science & Analysis\r\nTravel Required Up to 10%\r\nClearance Required Ability to Obtain Public Trust\r\nWhat You Will Do Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands‑on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission‑critical data solutions.\r\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.\r\nBuild and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.\r\nDevelop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.\r\nImplement and support cloud‑native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.\r\nDesign and implement CI/CD pipelines and DevOps best practices for data engineering workflows.\r\nCollaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.\r\nLead data integration, migration, and modernization initiatives, including legacy system transformation efforts.\r\nEnsure data quality, integrity, security, and governance standards are incorporated into solution designs.\r\nMonitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.\r\nMentor junior data engineers and support technical knowledge sharing across project teams.\r\nContribute to technical architecture discussions, technology evaluations, and engineering best practices.\r\nDevelop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.\r\nRole contingent upon contract award.\r\nWhat You Will Need U.S. Citizenship or Green Card is required AND must be able to OBTAIN and MAINTAIN a Federal or DHS \"PUBLIC TRUST\r\nBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.\r\nFOUR (4) or more years in data engineering, software engineering, analytics engineering, or a related discipline.\r\nExperience in Python, SQL, and data processing frameworks such as Spark or PySpark.\r\nExperience designing, developing, and supporting production‑grade data pipelines and ETL/ELT processes.\r\nExperience working with relational and non‑relational databases, including data modeling and query optimization.\r\nExperience with cloud platforms such as AWS and/or Azure.\r\nExperience with Databricks, Snowflake, or similar large‑scale data processing environments.\r\nExperience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps.\r\nExperience implementing data quality, monitoring, and operational support processes.\r\nExperience working within Agile software development environments.\r\nWhat Would Be Nice To Have Experience supporting federal, healthcare, public health, or other highly regulated environments.\r\nStrong analytical, troubleshooting, and problem‑solving skills.\r\nAbility to independently manage technical tasks and collaborate effectively across teams.\r\nExcellent verbal and written communication skills.\r\nFamiliarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.\r\nExperience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.\r\nExperience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.\r\nFamiliarity with modern data lakehouse architectures and data governance frameworks.\r\nExperience implementing Infrastructure‑as‑Code using Terraform, CloudFormation, or Bicep.\r\nExperience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch.\r\nCloud, Databricks, Snowflake, or related technical certifications.\r\nExperience supporting large‑scale data modernization or migration programs.\r\nExperience with machine learning data pipelines and AI‑enabled solutions.\r\nPrevious consulting or client‑facing experience.\r\nAnnual Salary Range The annual salary range for this position is $80,000.00-$133,000.00. 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.\r\nWhat We Offer Guidehouse 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.\r\nBenefits Include Medical, Rx, Dental & Vision Insurance\r\nPersonal and Family Sick Time & Company Paid Holidays\r\nParental Leave\r\n401(k) Retirement Plan\r\nGroup Term Life and Travel Assistance\r\nVoluntary Life and AD&D Insurance\r\nHealth Savings Account, Health Care & Dependent Care Flexible Spending Accounts\r\nTransit and Parking Commuter Benefits\r\nShort-Term & Long-Term Disability\r\nTuition Reimbursement, Personal Development, Certifications & Learning Opportunities\r\nEmployee Referral Program\r\nCorporate Sponsored Events & Community Outreach\r\nCare.com annual membership\r\nEmployee Assistance Program\r\nSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)\r\nPosition may be eligible for a discretionary variable incentive bonus\r\nAbout Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\r\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.\r\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.\r\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.\r\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.\r\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.#J-18808-Ljbffr","datePosted":"2026-08-18T01:08:48.228Z","dateModified":"2026-08-18T01:08:48.228Z","hiringOrganization":{"@type":"Organization","name":"Guidehouse","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beavercreek","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc105d2efbd004cfe6d4ecf6"},"url":"https://jobsearcher.com/jobs/fc105d2efbd004cfe6d4ecf6"}}