{"id":2835804,"url":"https://alion.io/job/revstar-data-ai-engineer-4","title":"Data & AI Engineer","company":{"id":35927,"name":"RevStar","domain":"revstarconsulting.com","url":"https://alion.io/company/revstar","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":130000,"max_usd":286000,"period":"year","method":"role_country_seniority_unknown","sample_n":4194},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"SOC 2","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-19T06:10:30Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-21T05:36:11Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Build What Matters at RevStar\nPosition: Data & AI Engineer\nReports To: Product Manager/Engineering Lead\n Location: Remote (AZ, DC, FL, GA, IA, IL, ME, NY, NJ, SC, TX, VA)\nEmployment Type: Full-Time W2\nJob Summary\nReady to build greenfield Lakehouse solutions at the bleeding edge of AI and big data? RevStar is an innovation shop and official Databricks Partner launching a dedicated, cloud-agnostic Data, ML, and AI practice. Tired of spending months in endless corporate approval loops only to build AI concepts that never reach production? We turn modern Lakehouse architectures and production AI into live, scalable enterprise solutions in fast-paced execution cycles. We build fast, cut bureaucratic red tape, and ship production-ready solutions for client founders and tech leaders who value real engineering impact. In this role, you will work directly with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI models. Above all, our team operates on three core principles:\nSelf-Mastery: We hold a high bar for how we think, communicate, and improve.\nOwnership: We own outcomes, not just effort.\nShared Destiny: We rise or fall together.\nYour Impact Pillars\n Databricks Lakehouse & Pipeline Engineering: Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments (AWS, Azure, GCP). Implement robust Lakehouse architectures that seamlessly process both structured and unstructured data at enterprise scale. Automate data ingestion, storage, and feature engineering workflows to support downstream analytics and real-time AI workloads.\n Performance Tuning & MLOps Integration: Fine-tune Spark jobs for low latency, high throughput, and maximum cloud cost-efficiency across client environments. Partner with ML engineers and data scientists to operationalize AI models inside Databricks using MLflow for tracking, versioning, and deployment. Implement robust CI/CD pipelines and Infrastructure-as-Code (Terraform, Databricks CLI) to establish automated, production-grade deployments.\n Data Governance & Client Leadership: Enforce enterprise data security, access controls, and compliance standards (GDPR, HIPAA, SOC 2) within Unity Catalog and cloud ecosystems. Collaborate directly with client tech leaders, product managers, and engineering teams to translate complex AI data requirements into clear business outcomes. Author clean technical documentation and lead seamless solution handoffs to client engineering teams upon project completion.\nRequirements\nWhat You Bring\nCore Experience: 3+ years in cloud-native data engineering with 2+ years of dedicated, hands-on Databricks, Apache Spark, Delta Lake, and MLflow experience.\n Technical Mastery: High proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).\n Strong Differentiator: Active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred and will set your application apart.\nConsulting Mindset: Proven track record operating in fast-paced Agile/DevOps consulting environments, delivering cloud-agnostic architectures with exceptional client communication.\nBenefits\nPaid Time Off - Take the time you need to recharge and stay productive.\nRemote-First Working Environment - Collaborate from anywhere while staying connected with our global team.\nComprehensive Health Coverage - Medical, Dental, Vision\n 401(k) Retirement Plan - Plan for your future with access to a company-sponsored 401(k) program.\nAnnual Learning & Development Stipend - Invest in your skills with conferences, certifications, or courses.\nPeer Mentorship & Coaching - Learn from experienced engineers, product managers, and architects to accelerate your growth.\nProfessional Growth Opportunities - Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.\nCompany Outings & Volunteer Opportunities - Build relationships and give back to the community.\nCollaborative, Innovative Culture - Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.\nEqual Opportunity Employment\nAt RevStar, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.\nReasonable Accommodations\nRevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at .\nE-Verify\nOur company participates in E-Verify to confirm work authorization for all newly hired U.S. employees; this process applies strictly to direct W-2 hires and is not applicable to independent contractor roles.","description_format":"text","description_chars":4954,"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":false,"languages":[]},"benefits":["Growth opportunities","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-19T06:10:30Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":1,"expected_fill_days":55,"reasons":["conf:0","wave","velocity","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/revstar-data-ai-engineer-4","json_url":"https://alion.io/job/revstar-data-ai-engineer-4.json","meta":{"generated_at":"2026-10-21T10:39:41Z","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":15040,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":35927},"rest":"https://alion.io/mcp/rest/get_company?id=35927"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frevstar-data-ai-engineer-4"},{"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%2Frevstar-data-ai-engineer-4"},{"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%2Frevstar-data-ai-engineer-4"},{"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/revstar-data-ai-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frevstar-data-ai-engineer-4"}]}