{"id":3175535,"url":"https://alion.io/job/reisystems-aws-database-engineer","title":"AWS Database Engineer","company":{"id":1962699,"name":"Reisystems","domain":"reisystems.com","url":"https://alion.io/company/reisystems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sterling, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Kanban","optional":false},{"name":"Least Privilege","optional":false},{"name":"Matillion","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon Aurora","optional":true},{"name":"Azure","optional":true},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"FedRAMP","optional":true},{"name":"Flyway","optional":true},{"name":"Informatica","optional":true},{"name":"Java","optional":true},{"name":"Liquibase","optional":true},{"name":"MySQL","optional":true},{"name":"Oracle Data Integrator","optional":true},{"name":"Power BI","optional":true},{"name":"RAG","optional":true},{"name":"Tableau","optional":true},{"name":"Talend","optional":true}],"status":"live","first_seen_at":"2026-10-23T19:52:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T07:27:01Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Overview\nREI Systems’ mission is to deliver reliable, innovative technology solutions that advance Federal clients' missions and exceed their expectations. Our technologists and consultants are passionate about solving complex challenges that impact millions of lives. We take a Mindful Modernization® approach in delivering our services, including application modernization, grants management, case management systems, government data analytics, and advisory services. This approach, the REI Way, ensures mission impact by aligning our clients' strategic objectives with measurable outcomes through people, processes, and technology. We offer the same commitment to our employees by providing professional development, meaningful projects, and flexibility to spend time with family and friends. We believe employees are at their best when fulfilled in both their professional careers and their personal lives. Learn more at www.REIsystems.com Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023, 2024, and 2025!\nResponsibilities\nPosition Overview\nREI Systems is seeking an experienced AWS Database Engineer to support mission-critical federal applications, database modernization, data integration, and cloud engineering initiatives within the GrantSolutions platform.\nThe ideal candidate will have strong hands-on expertise in Oracle SQL/PL/SQL, PostgreSQL, Amazon RDS, AWS database services, ETL development, and database migration technologies. This role will focus on designing, developing, optimizing, securing, and maintaining scalable database solutions that support complex federal applications and enterprise data environments.\nThe AWS Database Engineer will collaborate with application developers, cloud architects, DevOps engineers, data engineers, Product Owners, Agile teams, and federal stakeholders to deliver reliable, secure, and high-performing database solutions.\nThis position also offers opportunities to leverage approved AI-assisted development and automation tools to enhance database engineering, testing, documentation, troubleshooting, and operational efficiency.\nKey Responsibilities\nDatabase Development & Engineering\nDesign, develop, maintain, and optimize Oracle and PostgreSQL database solutions supporting enterprise applications.\n\nDevelop complex SQL queries, PL/SQL packages, stored procedures, functions, triggers, views, materialized views, and sequences.\n\nDevelop and optimize PostgreSQL SQL and PL/pgSQL code, including functions, procedures, triggers, and database objects.\n\nAnalyze complex data models, database schemas, entity relationship diagrams (ERDs), and enterprise data flows.\n\nPerform database performance tuning using execution plans, indexing strategies, partitioning, optimizer statistics, and database diagnostic tools.\n\nDevelop and maintain database migration scripts, schema updates, and automated deployment processes.\n\nTroubleshoot database performance issues, data inconsistencies, integration challenges, and production defects.\n\nAWS Cloud Database Engineering\nDesign, configure, administer, monitor, and maintain cloud-based database solutions using AWS services, including:\nAmazon RDS for Oracle\n\nAmazon RDS for PostgreSQL\n\nAmazon Redshift\n\nAmazon S3\n\nAWS Database Migration Service (AWS DMS)\n\nAWS Schema Conversion Tool (AWS SCT)\n\nAmazon CloudWatch\n\nAWS Secrets Manager\n\nAWS Key Management Service (AWS KMS)\n\nAWS Identity and Access Management (IAM)\n\nConfigure and optimize PostgreSQL databases hosted on Amazon RDS, including indexing, extensions, parameter groups, performance tuning, and operational troubleshooting.\n\nImplement database backup, recovery, high availability, monitoring, encryption, and access control mechanisms.\n\nSupport AWS cloud modernization initiatives involving Oracle and PostgreSQL databases.\n\nMonitor database performance, availability, resource utilization, and operational health across AWS environments.\n\nDatabase Migration & Modernization\nSupport database migration and modernization initiatives across Oracle, PostgreSQL, and AWS environments.\n\nImplement AWS DMS and AWS SCT solutions for database migration, schema conversion, and replication.\n\nConfigure source and target database endpoints, full-load migration tasks, and change data capture (CDC) processes.\n\nPerform migration assessments, data validation, reconciliation, cutover planning, and post-migration verification.\n\nIdentify opportunities to improve database architecture, scalability, performance, and operational efficiency.\n\nETL, Data Integration & Analytics\nDesign, develop, and maintain ETL workflows, data transformation processes, and batch processing solutions.\n\nBuild and support enterprise data integration pipelines using Matillion ETL or similar technologies.\n\nDevelop data validation frameworks and automated data quality checks.\n\nSupport data integration between enterprise applications, databases, reporting platforms, and analytics environments.\n\nCollaborate with data engineers and application teams to ensure data accuracy, integrity, consistency, and accessibility.\n\nSupport database solutions and pipelines used for analytics, reporting, and AI/ML workloads.\n\nDevSecOps, Automation & Production Support\nSupport database deployments through CI/CD pipelines and automated release processes.\n\nCollaborate with DevOps teams to implement database deployment automation, monitoring, and infrastructure management practices.\n\nDevelop and execute database unit tests, regression tests, data validation tests, and deployment verification activities.\n\nParticipate in production deployments, incident resolution, root-cause analysis, and post-release validation.\n\nImplement database security controls, audit logging, encryption, credential management, and least-privilege access.\n\nMaintain technical documentation, database designs, data mappings, deployment procedures, and operational support guides.\n\nParticipate in Agile ceremonies, including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.\n\nAI-Assisted Engineering & Continuous Improvement\nLeverage approved AI-powered development tools to improve SQL development, code optimization, testing, troubleshooting, and technical documentation.\n\nIdentify opportunities to implement AI-assisted automation within database engineering and operational support activities.\n\nApply responsible AI practices while maintaining data security, privacy, and compliance requirements.\n\nEvaluate emerging database, cloud, and AI technologies to improve engineering productivity and platform capabilities.\n\nQualifications\nRequired Qualifications\nMinimum of 5 years of professional experience in database engineering, Oracle database development, ETL development, data integration, or related software engineering roles.\n\nStrong hands-on experience with Oracle SQL and PL/SQL, including stored procedures, packages, functions, triggers, views, materialized views, complex queries, and performance tuning.\n\nExperience using Oracle database development tools such as SQL Developer and SQL*Loader.\n\nRequired hands-on experience with AWS database services, including Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS DMS, AWS SCT, Amazon CloudWatch, AWS Secrets Manager, AWS KMS, and IAM.\n\nStrong PostgreSQL and Amazon RDS for PostgreSQL experience, including SQL/PL/pgSQL development, administration, indexing, query optimization, performance tuning, backup and recovery, high availability, and troubleshooting.\n\nDemonstrated experience implementing database migrations and replication using AWS DMS and AWS SCT, including schema conversion, endpoint configuration, full-load migrations, CDC, validation, and cutover activities.\n\nExperience implementing AWS database operational controls for monitoring, logging, backup and recovery, encryption, credential management, access control, and infrastructure automation.\n\nExperience designing and implementing ETL workflows, data transformation processes, batch processing, and data migration solutions.\n\nExperience with Matillion ETL or similar cloud-native data integration and orchestration platforms.\n\nStrong understanding of relational database architecture, logical and physical data modeling, normalization, indexing, transaction management, and referential integrity.\n\nExperience optimizing complex database queries and troubleshooting performance bottlenecks.\n\nExperience developing database unit tests, regression tests, data validation processes, and automated deployment verification.\n\nExperience supporting production database environments, incident management, root-cause analysis, and application releases.\n\nExperience with CI/CD pipelines, DevSecOps practices, and database deployment automation.\n\nExperience working in Agile environments using Scrum, Kanban, or similar methodologies.\n\nProficiency with version control and development tools such as Git, GitHub, GitLab, Bitbucket, or Azure DevOps.\n\nFamiliarity with AI-assisted development tools and their application to software engineering, testing, documentation, and troubleshooting.\n\nUnderstanding of responsible AI, data privacy, cybersecurity, and secure technology adoption in enterprise environments.\n\nStrong analytical, communication, collaboration, and problem-solving skills.\n\nAbility to work independently, manage competing priorities, and collaborate effectively with cross-functional technical teams.\n\nMust be able to obtain and maintain a Federal Public Trust clearance. Candidates with an active Public Trust or federal suitability determination are preferred.\n\nPreferred Qualifications\nPrevious experience supporting federal government agencies or large-scale enterprise applications.\n\nExperience with federal grants management, financial management, case management, regulatory systems, or workflow-driven applications.\n\nFamiliarity with the GrantSolutions platform or similar federal grants management systems.\n\nExperience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, Oracle Data Integrator (ODI), Liquibase, Flyway, or comparable migration and integration tools.\n\nExperience with Amazon Aurora PostgreSQL-Compatible Edition, SQL Server, MySQL, or additional enterprise database technologies.\n\nExperience supporting AWS cloud migration, database modernization, and application transformation initiatives.\n\nKnowledge of federal cybersecurity and compliance standards, including FISMA, NIST, and FedRAMP.\n\nExperience with enterprise data warehousing, dimensional modeling, business intelligence, and reporting technologies such as Power BI, Tableau, or Amazon QuickSight.\n\nFamiliarity with AWS cloud-native application architectures and deployment patterns.\n\nOracle certifications such as Oracle Certified Professional (OCP), Oracle Database Administrator Certified Professional, or Oracle SQL Certified Associate.\n\nFamiliarity with modern AI data architectures, vector databases, retrieval-augmented generation (RAG), AI agents, and enterprise AI platforms.\n\nExperience supporting AI-driven modernization, intelligent automation, or enterprise analytics initiatives.\n\nHands-on exposure to AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, Gemini, or similar technologies.\n\nEducation: Bachelor’s degree in Business, Engineering, Computer Science, or related field. Masters degree preferred.\nClearance: Ability to obtain and maintain a clearance is preferred.\nLocation: Hybrid: 2 days per week at REI Systems’ Sterling, VA office.\nEEO Statement: REI Systems is an Equal Opportunity Employer","description_format":"text","description_chars":11641,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":true,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-23T19:52:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 39 · green card filings: 9","filings_12m":39,"filings_prev_12m":79,"green_card_filings_12m":9,"median_offered_wage_usd":142813,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":19,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/reisystems-aws-database-engineer","json_url":"https://alion.io/job/reisystems-aws-database-engineer.json","meta":{"generated_at":"2026-10-29T09:45:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14785,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1962699},"rest":"https://alion.io/mcp/rest/get_company?id=1962699"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freisystems-aws-database-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Freisystems-aws-database-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Freisystems-aws-database-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/reisystems-aws-database-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freisystems-aws-database-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3175535}},{"tool":"search_jobs","arguments":{"company":"reisystems.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3175535},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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