{"id":3024004,"url":"https://alion.io/job/guidehouse-senior-data-engineer-analytics-applied-ai","title":"Senior Data Engineer (Analytics & Applied AI)","company":{"id":4179,"name":"Guidehouse","domain":"guidehouse.com","url":"https://alion.io/company/guidehouse","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":97,"ghost_share":0,"stale_share":0.691,"repost_share":0.01,"time_to_fill_p50_days":28,"computed_at":"2026-10-25T05:49:26Z"}},"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":["Tysons, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":113000,"max":188000,"currency":"USD","period":"year","gross":null,"usd_annual":188000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"DuckDB","optional":true},{"name":"Embeddings","optional":true},{"name":"FastAPI","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-21T18:34:05Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T08:41:53Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Family:\nSoftware Development & SupportTravel Required:\nNoneClearance Required:\nAbility to Obtain Public TrustSenior Data Engineer (Analytics & Applied AI)\nAbout the role\nWe build production data platforms that turn large, complex datasets into reliable analytics and applications. We are looking for a Senior Data Engineer who is equally strong as a software engineer and a data engineer - someone who writes production-quality Python, designs and orchestrates cloud data pipelines, and stands behind the correctness of the numbers those pipelines produce.\nThis is a senior, high-autonomy role. You will own systems end to end, make architecture decisions, and drive work forward independently with minimal oversight. You should be comfortable setting technical direction, not just executing tickets. Experience with agentic coding assistants (using AI tooling to move faster while keeping quality high) is expected - we build with modern tooling and want engineers who leverage it well.\nData analytics fluency is required - you reason about the numbers, not just move them.\nWhat you'll do\nOwn data platforms end to end - from source ingestion through transformation to the analytics and application layers that consume them - with correctness, idempotency, and auditability as first-class requirements.\nWrite production Python and build software, not just SQL - services, APIs, tooling, and well-tested, maintainable code. This is a software-engineering role as much as a data role.\nDesign and orchestrate cloud data pipelines on AWS with scheduling, retries, data-quality gates, and clean failure handling.\nModel data for analytics and application serving - dimensional/fact modeling, grain decisions, slowly-changing dimensions, idempotent recompute patterns, and the distinction between an analytical warehouse and an application system-of-record.\nImplement data-quality and reconciliation checks that run every pipeline and gate publication - you don't ship numbers you can't defend.\nDrive architecture and technical decisions independently - evaluate tradeoffs, choose approaches, and lead implementation with limited supervision.\nUse agentic coding assistants effectively - leverage AI development tooling to accelerate delivery while maintaining code quality and review discipline.\nGrow into applied AI/ML - entity resolution / record linkage, LLM-assisted analytics over structured and unstructured data, and anomaly/risk scoring as the work expands.\nWhat You Will Need \nSIX (6+) years in data engineering and/or software engineering building and operating production systems.\nUniversity Degree and minimum SIX (6) years of prior relevant experience; FOUR (4) years of relevant experience may be substituted for formal education.\nStrong software engineering - production-quality Python, clean architecture, testing, code review, and CI/CD. You build software, not just scripts.\nExpert SQL - window functions, complex joins, aggregation-grain reasoning, and query performance.\nAWS data & compute stack - hands-on with several of: Glue, Step Functions, S3, Redshift, Aurora/RDS, Lambda, EventBridge, ECS/Fargate, IAM.\nData modeling - dimensional/analytical modeling, grain, SCD, and idempotent recompute patterns.\nData-quality discipline - you validate outputs, reconcile totals, and defend your numbers.\nInfrastructure as code - Terraform or CDK in a real project.\nHigh autonomy - proven ability to own systems and drive them to completion independently, with sound judgment on architecture and tradeoffs.\nAgentic coding assistants - demonstrated, effective use of AI coding tools in a real workflow.\nAnalytics fluency - profile a dataset, spot anomalies, reason about what a metric means, and explain discrepancies.\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\nWhat Would Be Nice to Have \nApplied AI / ML - practical LLM use (RAG, structured extraction from unstructured text), embeddings, or ML risk-scoring; strong interest counts even without deep production experience.\nAgent frameworks - AWS Strands Agents, Bedrock AgentCore, or similar for building tool-using / multi-agent systems.\nEntity resolution / record linkage - probabilistic matching\nAPI development - FastAPI or similar; enough front-end awareness to collaborate with UI engineers.\nDuckDB / Parquet-based data flows and data-lake table formats (Iceberg/Delta).\nExperience in regulated or government data environments.\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. What We Offer:\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.\nBenefits include:\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\nGuidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\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.\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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.\nAll communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . 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.\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 . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.\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.","description_format":"text","description_chars":7979,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Parental leave","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Digital Government","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-21T18:34:05Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 24 · green card filings: 14","filings_12m":24,"filings_prev_12m":23,"green_card_filings_12m":14,"median_offered_wage_usd":132500,"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":4}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":28,"reasons":["conf:45","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":188000,"is_top_pay":true},"html_url":"https://alion.io/job/guidehouse-senior-data-engineer-analytics-applied-ai","json_url":"https://alion.io/job/guidehouse-senior-data-engineer-analytics-applied-ai.json","meta":{"generated_at":"2026-10-26T00:13:31Z","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":214,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":4179},"rest":"https://alion.io/mcp/rest/get_company?id=4179"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fguidehouse-senior-data-engineer-analytics-applied-ai"},{"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%2Fguidehouse-senior-data-engineer-analytics-applied-ai"},{"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%2Fguidehouse-senior-data-engineer-analytics-applied-ai"},{"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/guidehouse-senior-data-engineer-analytics-applied-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fguidehouse-senior-data-engineer-analytics-applied-ai"}]}