{"id":1274676,"url":"https://alion.io/job/chenega-databricks-platform-engineer","title":"Databricks Platform Engineer","company":{"id":2131546,"name":"Chenega","domain":"chenega.com","url":"https://alion.io/company/chenega","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Home, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":125000,"currency":"USD","period":"year","gross":null,"usd_annual":125000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-26T01:01:17Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T13:39:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nPosition contingent on contract award - details below are subject to change based on final award.\nCome join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for a Databricks Platform Engineer to join our team supporting the Centers for Disease Control and Prevention (CDC).\nOur company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.\nResponsibilities\nIn this position, you’ll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you’ll partner with product managers, data scientists, software engineers, ML engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You’ll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.\nYou will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.\nLead the platform administration and governance framework, ensuring strong enterprise security controls.\nDesign and implement automated solutions that streamline Databricks account and workspace administration.\nCollaborate with cross-functional teams to understand business needs and convert them into AI-driven and analytics-driven platform capabilities.\nArchitect and integrate autonomous AI agents, Genie Agents, and Model Context Protocol (MCP) servers to securely connect language models with enterprise data.\nSupport and guide teams using Genie Code and Lakeflow Designer for natural-language pipeline creation and automated data engineering workflows.\nMentor junior engineers and provide technical leadership in Databricks best practices, governance, and platform engineering.\nConduct detailed cost and performance analysis across compute resources, storage layers, and data assets within the Databricks platform.\nStay current with advancements in Databricks SQL, ML, and AI, integrating new capabilities into the platform where beneficial.\nEngage in knowledge sharing and contribute to building a collaborative engineering culture.\nOther duties as assigned\nQualifications\n5+ years of hands-on experience with Databricks account and workspace administration (governance, configuration, and security)\nExperience optimizing Databricks environments for cost efficiency, reliability, and performance\nExperience developing and maintaining pipelines using Lakeflow Designer, Lakeflow Pipelines, and Lakeflow Jobs\nExperience configuring and using Genie Code and Genie Agents to accelerate data engineering and analytical workflows\nExperience designing and deploying autonomous AI agents and managing Model Context Protocol (MCP) servers\nExperience with Databricks SQL tools, including Queries and AI/BI Dashboards\nExperience working with large datasets and distributed computing across AWS and GCP\nKnowledge of Unity Catalog governance architecture and enterprise data-security best practices\nAbility to explain complex concepts clearly to both technical and non-technical audiences\nAbility to obtain and maintain a Public Trust or Suitability/Fitness determination\nBachelor’s degree\nPreferred Qualifications:\nKnowledge of Azure Cloud Networking concepts like VNET Injection\nDatabricks Platform Administrator Certification\nMicrosoft Certified: Azure Administrator Associate\nMaster’s degree\nFinal salary determination based on skill-set, qualifications, and approved funding.\nMany of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:\nPaid Time Off\nPTO / Vacation - 5.67 hours accrued per pay period / 136 hours accrued annually\nPaid Holidays - 11\nCalifornia residents receive an additional 24 hours of sick leave a year\nHealth & Wellness\nMedical\nDental\nVision\nPrescription\nEmployee Assistance Program\nShort- & Long-Term Disability\nLife and AD&D Insurance\nSpending Account\nFlexible Spending Account\nHealth Savings Account\nHealth Reimbursement Account\nDependent Care Spending Account\nCommuter Benefits\nRetirement\n401k / 401a\nVoluntary Benefits\nHospital Indemnity\nCritical Illness\nAccident Insurance\nPet Insurance\nLegal Insurance\nID Theft Protection\nTeleworking Permitted?\nYesTeleworking Details\nPreference is for folks in Atlanta, GA, but flexible for the right candidateEstimated Salary/Wage\nUSD $110,000.00/Yr. Up to USD $125,000.00/Yr.","description_format":"text","description_chars":5101,"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":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T01:01:17Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":31,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":{"stated_usd_annual":125000,"is_top_pay":false},"html_url":"https://alion.io/job/chenega-databricks-platform-engineer","json_url":"https://alion.io/job/chenega-databricks-platform-engineer.json","meta":{"generated_at":"2026-09-27T05:03:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4414,"day_limit":5000,"remaining_today":586,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}