{"id":3380178,"url":"https://alion.io/job/devoted-health-principal-data-engineer","title":"Principal Data Engineer","company":{"id":58527,"name":"Devoted Health","domain":"devoted.com","url":"https://alion.io/company/devoted-health","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","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":["Waltham, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":219000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LookML","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Anthropic","optional":true},{"name":"Claude Code","optional":true},{"name":"Cursor","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenAI Codex","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T10:06:31Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nA bit about this role:\n\nIn our mission to take care of every member like they were our own family,, we believe that data is a super power to deliver great service and clinical care. Our Data Platform team designs and builds the infrastructure to support this capability.\nIn this role, you will write tools to make it easier for our Data Scientists and Engineers to build and deploy scalable, reliable data pipelines, machine learning models, and LLM powered tools. You will help develop and improve a Data Platform built with tools like Snowflake, Apache Airflow, dbt, Kubernetes, Terraform, and all the leading AI labs. You will work on a wide range of impactful projects. Examples of our work include a Change-Data-Capture solution to stream data to Snowflake, a custom Snowflake SQL formatter, an internal Semantic Layer and Data Agent that lets users ask questions about our data in plain language and develop dashboards and analyses. We write most of our tools in Go.\nYou will be joining a team that values using the right tool for the job with an emphasis on performance, reliability, and maintainability. We also believe in continuously evaluating decisions and striving for improvement as a team. Additionally, we value sharing knowledge, eliminating silos, and collaboration. We use AI coding agents as part of our everyday workflow and are always looking for ways to work smarter.\n\nResponsibilities will include:\nDesign, develop and maintain a robust, scalable data platform that serves analytics, machine learning, and AI workloads\nBuild and evolve the infrastructure behind our Semantic Layer and Data Agent, including how LLMs discover, understand, and safely query our data\nEstablish evaluation, observability, and quality practices for AI systems that depend on the data platform, so we can measure accuracy and catch regressions\nCollaborate with Data Science and Product Engineering on tooling to develop and deploy reliable data and AI products\nEnsure data availability, quality, and reliability in the data platform\nIdentify areas for improvement with the platform\nPropose new/improved solutions and lead them from design to implementation\nDevelop best practices for data modelling, pipelines, and testing\n\nAttributes to success:\nExperience coupled with a willingness to learn new things, especially in a fast-moving AI landscape\nComfort with ambiguity and a desire to be close to business problems\nPragmatism about AI. Excitement for what it can do, paired with clear thinking about where it isn’t the right tool\nDesire to work in a collaborative environment and improve as a team\nDesire to contribute individually with the ability to self-direct work\n Required skills and experience:\nAbility to work in a fast-paced startup environment\n5+ years working as an individual technical contributor\n5+ years' experience with data platforms\nExperience working with Cloud Data Warehouses (Snowflake, BigQuery, Redshift, etc.)\nExperience developing in Python or Go\nExperience with a Workflow Orchestrator (Airflow, Luigi, Dagster, Prefect, etc.)\nA strong understanding of data warehousing and data modelling principles\nExperience with semantic or metrics layers (dbt Semantic Layer, Cube, LookML, etc.)\n Desired skills and experience:\nRegular use of coding agents (Claude Code, Codex, Cursor, etc.) in your development workflow\nHands-on experience building or supporting applications that use LLMs (via Anthropic, OpenAI, or similar APIs)\nExperience designing evaluations for LLM systems, such as text-to-SQL accuracy Salary range: $131,000-200,000 plus cash bonus and equity\nThe pay range listed for this position is the range the organization reasonably and in good faith expects to pay for this position at the time of the posting. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.\nOur Total Rewards package includes:\nEmployer sponsored health, dental and vision plan with low or no premium\n\nGenerous paid time off\n\n$100 monthly mobile or internet stipend\n\nStock options for all employees\n\nBonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles\n\nParental leave program\n\n401K program\n\nAnd more....\n\n*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.\nFounded in 2017, Devoted Health is on a mission to dramatically improve the health and well-being of older Americans by caring for everyone like they are family, and that includes our employees. Our robust and seamlessly integrated care platform merges advanced data and AI access with world-class clinical and service experiences to create a member experience that is unlike the industry norm. To continue building upon our mission, we want to bring together those who share our values, embrace change and advancement, and are enthusiastic about where we're going - all the while bringing their own unique qualities, experiences, and expertise, in hopes of further changing the healthcare experience.\nDevoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.\nAs an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.","description_format":"text","description_chars":6455,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Telemedicine & Virtual Care","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-28T04:39:13Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":17,"reasons":["conf:1","win:early"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/devoted-health-principal-data-engineer","json_url":"https://alion.io/job/devoted-health-principal-data-engineer.json","meta":{"generated_at":"2026-10-28T17:19:00Z","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":23478,"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":58527},"rest":"https://alion.io/mcp/rest/get_company?id=58527"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdevoted-health-principal-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%2Fdevoted-health-principal-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%2Fdevoted-health-principal-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/devoted-health-principal-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdevoted-health-principal-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3380178}},{"tool":"search_jobs","arguments":{"company":"devoted.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3380178},"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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