{"id":167677,"url":"https://alion.io/job/general-dynamics-information-technology-performance-data-optimization-engineer","title":"Performance & Data Optimization Engineer","company":{"id":4418,"name":"General Dynamics Information Technology","domain":"gdit.com","url":"https://alion.io/company/gdit","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":31,"ghost_share":0,"stale_share":0.387,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":128039,"max":173229,"currency":"USD","period":"year","gross":null,"usd_annual":173229},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Confluence","optional":false},{"name":"Datadog","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FedRAMP","optional":false},{"name":"FinOps","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Least Privilege","optional":false},{"name":"New Relic","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SBOM","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Oracle","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-18T07:45:39Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Type of Requisition:\nRegularClearance Level Must Currently Possess:\nNoneClearance Level Must Be Able to Obtain:\nNonePublic Trust/Other Required:\nBI Full 6C (T4)Job Family:\nCyber and IT Risk ManagementJob Qualifications:\nSkills:\nGitHub, Jira and Confluence administration, Web Application SecurityCertifications:\nNoneExperience:\n5 + years of related experienceUS Citizenship Required:\nNo Job Description:\nSeize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.\nGDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Performance & Data Optimization Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.\nThe successful candidate will be responsible for monitoring and optimizing the performance of the enterprise cloud data platform, focusing on database performance, query execution, indexing strategies, and overall platform efficiency. This role identifies bottlenecks, tunes queries and platform configurations, and partners with data engineering and platform teams to ensure the CMM Data Modernization & Governance platform runs efficiently, reliably, and cost-effectively at scale.\nTHE PERFORMANCE & DATA OPTIMIZATION ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES\nOptimize databases and platform performance across cloud data warehouses/lakes, including query execution, indexing, partitioning, and caching.\nMonitor system health; manage incidents, events, and operational reporting.\nDiagnose and resolve performance bottlenecks in queries, pipelines, and resource utilization (CPU, memory, storage, network, I/O, concurrency).\nAnalyze and tune SQL, ETL/ELT, data models, ingestion patterns, and workload performance for efficiency and cost.\nEstablish and maintain SLAs, baselines, dashboards, and automated monitoring/alerting.\nPlan capacity, perform workload analysis, and guide scaling and cost-optimization decisions.\nCollaborate with platform engineers, DBAs, architects, and application teams to optimize compute/storage configurations and resolve issues.\nMaintain access controls, user roles, and identity integrations including SSO, MFA, and JENIE-based least privilege enforcement.\nProvide disaster recovery and continuity options including high availability, fault tolerance, and automated failover.\nIntegrate DevSecOps tools and processes with enterprise systems to ensure unified security posture.\nManage centralized secrets with automated rotation, access logging, and policy enforcement.\nEmbed SAST, DAST, SCA, and CSPM tools into CI/CD for continuous assessment and remediation.\nImplement automated, continuous 24/7 monitoring for security, performance, and compliance with real-time dashboards.\nEnsure automated SBOM generation and management for all deployed artifacts.\nProvide diagnostics, metrics gathering, and performance tuning; support canary releases for testing.\nCollaborate with data governance and data quality teams to ensure performance optimization efforts align with data standards and controls.\nCollaborate with Data Platform Engineers, Database Administrators, Data Architects, and Data Engineers to resolve performance issues.\nPerform automated, full-stack health checks at agreed intervals.\nDeliver monthly reports covering incidents, stability, performance, configurations, ticket volume, and resolution times.\nSupport high availability, disaster recovery, and business continuity requirements.\nContribute to platform performance standards, engineering guidelines, and optimization best practices.\nQUALIFICATIONS\nEducation: Bachelor’s degree in Computer Science, Software Engineering, or related field.\n Experience: 5+ years’ experience in IT system engineering, development, and programming with a strong focus on diagnosing, optimizing, and improving system and data-pipeline performance.\nDeep expertise in AWS services across compute, storage, networking, monitoring, and logging.\nProficient with IaC tools (Terraform, CloudFormation, Azure Bicep) for building optimized, cost-efficient, autoscaling infrastructure configurations.\nExperienced with monitoring/APM platforms (CloudWatch, Azure Monitor, Datadog, Prometheus, Grafana, New Relic) focusing on identifying performance bottlenecks, improving query and workload efficiency, and reducing latency.\nStrong background in incident response and change management with the ability to quickly isolate, troubleshoot, and resolve performance degradation issues.\nSkilled with CI/CD toolchains (Jenkins, GitHub Actions, GitLab, ArgoCD) to optimize build and deployment pipelines and reduce performance overhead.\nStrong scripting abilities (Python, PowerShell, Bash).\nAdvanced DevSecOps and GitOps experience with the ability to optimize deployment workflows, automate testing, and ensure high-performance release pipelines.\nHands-on experience building, testing, and maintaining containerized applications.\nExpert in version control and enterprise CI/CD pipelines, leveraging automation to streamline performance-critical workflows.\nFlexible collaborator across multiple teams and products.\nExperience with FinOps, cost modeling, forecasting, and cloud cost optimization.\nKnowledge of federal compliance frameworks (FedRAMP, NIST, JISF Rev 5).\nSkilled in log/metric analysis and cloud performance tuning.\nExperienced working across product teams to assess system health.\nStrong SQL and database performance-tuning skills with ability to optimize ELT/ETL pipelines, refactor SQL logic, tune joins, improve concurrency, and tune execution plans.\nExperience in query optimization, indexing, partitioning, clustering, and execution-plan analysis.\nFamiliar with cloud data platforms and distributed data-processing environments.\nStrong performance-monitoring and troubleshooting capabilities for database optimization, pipeline tuning, and cloud-platform efficiency improvements.\nExcellent analytical and problem-solving skills.\nPreferred experience with Snowflake, Databricks, Amazon Redshift, PostgreSQL, SQL Server, Oracle, or equivalent platforms.\nPreferred experience with optimizing large-scale analytical workloads.\nPREFERRED CERTIFICATIONS\nOne or more of the following certifications ispreferredbut notrequired.\nCertified Data Management Professional (CDMP)\nSnowflake SnowPro Advanced\nDatabricks Certified Data Professional\nAWS Certified Data Analytics - Specialty\nAWS Certified Solutions Architect - Professional\nAWS Certified Data Engineer\nDocker Certified Associate.\nCertified Kubernetes Administrator\nCertified Professional DevSecOps Certification Course\nITIL, AWS SysOps, Google Cloud DevOps Engineer.\nSecurity Clearance Level: Must be able to pass a background check to obtain a position of Public Trust.\nMust be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).\nLocation: Remote.\nGDIT IS YOUR PLACE\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\n\nGrowth: AI-powered career tool that identifies career steps and learning opportunities \nSupport: An internal mobility team focused on helping you achieve your career goals \nRewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off \nFlexibility: Full-flex work week to own your priorities at work and at home \nCommunity: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results.\n#GDITLA\nThe likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:\n40Travel Required:\nLess than 10%Telecommuting Options:\nRemoteWork Location:\nAny Location / RemoteAdditional Work Locations:\nTotal Rewards at GDIT:\nOur benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.Our Identity Verification Process:\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","description_format":"text","description_chars":11113,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["401k plan","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-08-28T00:00:00Z"},{"event":"close","at":"2026-08-31T21:42:18Z"},{"event":"open","at":"2026-10-14T02:00:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 21 · green card filings: 4","filings_12m":21,"filings_prev_12m":30,"green_card_filings_12m":4,"median_offered_wage_usd":154900,"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":6}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.359,"p_room":0.28,"age_days":50,"expected_fill_days":10,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":173229,"is_top_pay":true},"html_url":"https://alion.io/job/general-dynamics-information-technology-performance-data-optimization-engineer","json_url":"https://alion.io/job/general-dynamics-information-technology-performance-data-optimization-engineer.json","meta":{"generated_at":"2026-10-18T11:34:08Z","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":17148,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":4418},"rest":"https://alion.io/mcp/rest/get_company?id=4418"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-dynamics-information-technology-performance-data-optimization-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%2Fgeneral-dynamics-information-technology-performance-data-optimization-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%2Fgeneral-dynamics-information-technology-performance-data-optimization-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/general-dynamics-information-technology-performance-data-optimization-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-dynamics-information-technology-performance-data-optimization-engineer"}]}