{"id":1989711,"url":"https://alion.io/job/credence-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3864336,"name":"Credence","domain":"credence.ai","url":"https://alion.io/company/credence-4","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cline","optional":false},{"name":"CloudFormation","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Hugging Face","optional":false},{"name":"Jenkins","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Mastra","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenTofu","optional":false},{"name":"Pandas","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Unstructured.io","optional":false},{"name":"PostgreSQL","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-07T04:58:05Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T02:53:42Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Overview\nJoin a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.\nWe’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.\nPosition Summary\nCredence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You’ll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.\nResponsibilities include, but are not limited to the duties listed below\nData Integrations for Generative AI & LLM UsageBuild and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage.\n\n Data Lake & Warehouse EngineeringManage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility.\n\nDatabase Management & PerformanceWork with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting.\n\nCollaborative EngineeringWork alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems.\n\n Cloud EnablementHelp automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.\n\nProduction Monitoring & OptimizationMonitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.\n\nTechnical Rigor & DocumentationWrite clean, well-documented code following industry and federal guidelines, support reproducible development.\n\nProfessional GrowthStay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.\n\nRequirements\nU.S. Citizenship with eligibility for DoD Secret clearance.\nBachelor’s or Master’s in Computer Science, Data/AI/ML, or a related field.\n 7+ years of hands-on experience delivering Data/AI/ML solutions.\nStrong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier\nExperience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base)\nExperience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A).\nUnderstanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search.\nFamiliarity with CI/CD pipelines (GitLab/GitHub/Jenkins)\nExperience with VS Code and AI extensions such as Cline and Claude Code.\nStrong communication skills and client-oriented mindset.\nPreferred\nCurious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.\nPython proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).\nExperience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.\nExperience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.\nExposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.\nKnowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.\nWhy This Role Matters\nReal-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.\nGrowth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.\nCulture of Empowerment - You’ll be part of a team that values innovation, trust, collaboration, and mission success.\nSalary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.\nBenefits\nHealth Care Plan (Medical, Dental & Vision)\nRetirement Plan (401k, IRA)\nLife Insurance (Basic, Voluntary & AD&D)\nPaid Time Off (Vacation, Sick & Public Holidays)\nFamily Leave (Maternity, Paternity)\nShort Term & Long Term Disability\nTraining & Development\nWellness Resources","description_format":"text","description_chars":5423,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["401k plan","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-10-07T04:58:05Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":50,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":155000,"is_top_pay":false},"html_url":"https://alion.io/job/credence-senior-data-engineer","json_url":"https://alion.io/job/credence-senior-data-engineer.json","meta":{"generated_at":"2026-10-13T03:31:26Z","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":5523,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":3864336},"rest":"https://alion.io/mcp/rest/get_company?id=3864336"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcredence-senior-data-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%2Fcredence-senior-data-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%2Fcredence-senior-data-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/credence-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcredence-senior-data-engineer"}]}