{"id":3278750,"url":"https://alion.io/job/salas-obrien-data-ai-product-engineer","title":"Data & AI Product Engineer","company":{"id":2373010,"name":"Salas O'Brien","domain":"salasobrien.com","url":"https://alion.io/company/salasobrien","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":80,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","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":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":95000,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"MLFlow","optional":true}],"status":"closed","first_seen_at":"2026-09-28T14:24:30Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-28T08:29:03Z","board_verified":false,"closed_at":"2026-10-28T08:29:03Z","days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"Data & AI Product Engineer\nAt Salas O’Brien we tell our clients that we’re engineered for impact. This passion for making a difference applies just as much to our team as it does to our projects. That’s why we’re committed to living our values every day: inspiring, achieving, and connecting as shared owners of our success with a focus on a sustainable future.\nBuilding for the long-term means that all of our team members can expect to work on amazing projects with a people-first approach to problem solving. It also means that each member of our team has truly limitless potential to build a unique, meaningful, and high-impact career-and they’ll receive great total rewards along the way.\nAbout Us\nFounded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow’s requirements are today’s opportunities, and we are here to design lasting solutions for pressing challenges.\nWe work across a variety of industries providing integrated engineering and consulting services. Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more.\nOur technical expertise is paired with an exceptional team of business development, human resources, finance and accounting, information technology, and marketing professionals, all of whom play a key role in bringing our commitments to life every day.\nJob Summary\nAs a Data & AI Product Engineer, you will help build and support the pipelines, models, and applications that power practical Data & AI products. You will contribute to meaningful product features while working within established platform patterns, engineering practices, and quality standards.\nThis is a hands-on engineering role with room to grow. You will work on real business problems, collaborate with experienced teammates, and help bring solutions from idea through production.\nYou will be part of a small product pod, working closely with a Product Manager and other engineers to deliver useful, reliable products and improve them over time.\nReporting and Scope\nThis role reports to the Data & AI Product Manager for the assigned product, with technical guidance from the Senior Data & AI Product Engineer on the pod.\nAs your experience grows, there is a path toward a Senior Data & AI Product Engineer role based on demonstrated technical depth, reliable independent delivery, and the ability to lead design for meaningful work.\nResponsibilities\nBuild and operate data pipelines on the Lakehouse, including ingestion, transformation, quality checks, and the monitoring that catches failures early.\nDevelop product features from requirements through production, including testing and documentation as part of the delivery process.\nBuild machine learning or generative AI components when they support the product roadmap, including evaluation practices to confirm performance and usefulness.\nFollow platform patterns and engineering standards for the pod, and share feedback when standards can be improved.\nParticipate in code reviews to improve quality, share knowledge, and support consistent engineering practices.\nSupport what you build by investigating defects, addressing root causes, and communicating updates clearly to the Product Manager.\nAdd instrumentation so product usage, reliability, and performance can be measured and improved.\nWork directly with business users to clarify requirements, understand intent, and shape practical solutions.\nContribute to design discussions and technical decisions with the product pod.\nMaintain clear documentation for the components and workflows you support.\nHow the Work Arrives\nWork is driven by a prioritized product backlog and often begins with a business problem to solve. You will help clarify needs, recommend an approach, and partner with the team to build solutions that are practical, scalable, and useful.\nYou will have support and technical guidance as you learn the platform and products. Over time, demonstrated judgment and delivery will lead to broader ownership and more complex technical work.\nQualifications and Experience\nWho You Are\nYou enjoy building reliable solutions and seeing your work make it into production.\nYou ask thoughtful questions, seek context, and help the team stay focused on the right solution.\nYou are curious about the business, not only the technology.\nYou see code review as a collaborative way to improve quality, learn from others, and strengthen the product.\nYou are motivated to keep growing and welcome feedback from teammates with deeper experience.\nRequired\nThree or more years of professional experience in data engineering, machine learning engineering, analytics engineering, or software development.\nWorking Python and SQL skills, including the ability to write, test, and debug production code without close supervision.\nExperience with a cloud data platform and distributed data processing concepts.\nExperience with version control and collaborative development practices, including branching, pull requests, and code review.\nUnderstanding of data modeling and data quality fundamentals.\nAbility to work from a backlog, communicate progress clearly, and raise risks or timing considerations early.\nBachelor's degree in engineering, computer science, mathematics, or a related discipline, or equivalent experience.\nPreferred\nHands-on Databricks experience, including workflows, Delta Lake, and Unity Catalog, is highly valued. Experience with continuous integration and deployment practices for data workloads is also helpful.\nExperience delivering solutions for internal business users is beneficial, especially when requirements begin as process needs or business questions rather than detailed technical specifications.\nNice to Have\nDatabricks certification at the associate or professional level.\nExperience with MLflow, model serving, or generative AI application patterns.\nFront-end development experience, including React or a comparable framework.\nFamiliarity with architecture, engineering, or professional services operations.\nLocation\nThis position is remote within the United States.\nCompensation & Benefits\nThe expected base salary range for this role is $95,000 - $115,000 USD per year. Actual compensation will be determined based on a number of factors including skills, experience, qualifications, and location.\nThis role is also eligible for performance-based bonuses, equity participation, and a comprehensive U.S.-based benefits package, including:\nMedical, dental, and vision insurance\n401(k) with company match\nPaid time off and company holidays\nWellness programs and employee assistance resources\nProfessional development support\nEqual Opportunity Employment Statement\nSalas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law.\nThird-Party Agency Notice\nSalas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees.","description_format":"text","description_chars":7740,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Professional development","Vision insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Civil & Structural Engineering","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-26T15:31:40Z"},{"event":"close","at":"2026-10-28T08:29:03Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":115000,"is_top_pay":false},"html_url":"https://alion.io/job/salas-obrien-data-ai-product-engineer","json_url":"https://alion.io/job/salas-obrien-data-ai-product-engineer.json","meta":{"generated_at":"2026-10-28T14:18:32Z","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":19483,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":2373010},"rest":"https://alion.io/mcp/rest/get_company?id=2373010"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsalas-obrien-data-ai-product-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%2Fsalas-obrien-data-ai-product-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%2Fsalas-obrien-data-ai-product-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/salas-obrien-data-ai-product-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsalas-obrien-data-ai-product-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3278750}},{"tool":"search_jobs","arguments":{"company":"salasobrien.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3278750},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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