{"id":3003637,"url":"https://alion.io/job/rxsense-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4339,"name":"RxSense","domain":"rxsense.com","url":"https://alion.io/company/rxsense","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":128000,"max_usd":234000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LookML","optional":false},{"name":"Prefect","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T11:22:07Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T20:12:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions.\nAs a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.\nPosition Summary\nThe Senior Data Engineer owns the data platform end to end - designing, building, and maintaining the infrastructure, pipelines, and governed data layers that power analytics and downstream consumers across the organization. This is a hands-on engineering role centered on cloud data platform development, pipeline orchestration, and data modeling at scale.\nThe guiding principle is to build once, consume everywhere - define transformations and metrics a single time, governed and version-controlled in the warehouse, then serve them consistently to every downstream consumer: BI tools, client-facing reporting, and AI systems.\nThe ideal candidate is comfortable building data platforms and systems from scratch, thrive in a platform development and maintenance environment, and brings strong hands-on experience with Snowflake and workflow orchestration tools such as Apache Airflow and dbt (or equivalent platforms). This role does not own BI visualization - your work spans raw ingestion through the governed gold layer.\nKey Responsibilities\nData Platform Development & Maintenance\nDesign, build, and maintain scalable data pipelines and platform infrastructure on Snowflake.\nArchitect and implement end-to-end data flows from source ingestion through the silver and gold layers.\nOwn platform reliability, performance tuning, and ongoing maintenance - treating the data platform as a product.\nBuild systems from the ground up where needed; evaluate existing systems and refactor for scale, cost efficiency, and maintainability.\nEstablish engineering standards: version control, CI/CD, testing frameworks, and documentation for all platform components.\nPipeline Orchestration & Workflow Management\nDesign and maintain orchestration workflows using Apache Airflow (or equivalent) to schedule, monitor, and manage data pipelines.\nEnsure pipeline reliability, observability, and failure recovery through alerting, logging, and automated retries.\nCoordinate dependencies across upstream sources and downstream consumers with well-defined SLAs.\nGold-Layer Modeling & Metrics\nDesign, build, and maintain gold-layer data models and a governed metrics layer in Snowflake using dbt - clean, tested, documented, and version-controlled.\nEstablish metric definitions as the single source of truth: calculated once, reused everywhere, with clear ownership and change management.\nPush transformation and calculation logic upstream into the warehouse so the consumption layer stays simple, consistent, and high-trust.\nPartner with analytics and BI stakeholders on the boundary between pipelines (data engineering) and consumption (analytics/reporting).\nStructure and document data models so they meet the governance and consistency requirements of AI agents and autonomous analytical systems.\nAI-Native Development\nBuild with coding agents and AI-assisted tooling as a primary part of the workflow - accelerating pipeline development, data modeling, documentation, and testing.\nIndependently set up and manage development environments, repositories, and the tooling needed to work effectively with agentic systems.\nHelp establish team practices and standards for building data infrastructure in the AI era.\nQuality, Governance & Platform Judgment\nChampion data quality, consistency, and trust across all platform layers - ensuring data holds up under scrutiny from any downstream consumer.\nContribute to platform architecture decisions; identify opportunities for automation, templating, and process improvement.\nApply sound engineering judgment to evaluate build vs. buy decisions and tooling trade-offs.\nQualifications\nRequired\n5+ years of hands-on experience in data engineering - building pipelines, data models, and platform infrastructure in a data-driven organization.\nSnowflake: Proven, hands-on production experience building data models and transformations in Snowflake. Deep familiarity with Snowflake architecture, performance optimization, and cost management.\nWorkflow Orchestration (must have): Hands-on experience with Apache Airflow or an equivalent DAG-based orchestration platform (e.g., Prefect, Dagster, Mage). Ability to design, deploy, and operate complex pipeline workflows.\ndbt: Demonstrated experience using dbt for transformation modeling, testing, and documentation in a production warehouse environment. Equivalent semantic layer tooling experience considered.\nStrong SQL proficiency - able to write, optimize, and review complex queries across large datasets.\nExperience building data platforms or systems from scratch - not just extending existing infrastructure but designing and standing up new ones.\nComfort with platform development and maintenance as a long-term ownership model - not just project delivery.\nFluency working in the AI era: building with coding agents, setting up development environments, and using AI tooling as a core productivity multiplier.\nFamiliarity with software engineering practices: version control (Git), CI/CD pipelines, automated testing, and code review.\nStrong communication skills - able to translate business requirements into technical data platform decisions.\nPreferred\nExperience in pharmacy benefits management, healthcare technology, or a related regulated industry.\nExperience with cloud infrastructure and data platform tooling (AWS, Azure, or GCP) alongside the data stack.\nFamiliarity with data governance frameworks, data contracts, or data mesh principles.\nExperience with streaming or near-real-time data pipelines (e.g., Kafka, Kinesis, Spark Streaming).\nExposure to semantic/metrics layer tooling (e.g., MetricFlow, Cube, LookML).\nExperience building demo environments or client-facing data products.\nSalary Range: 145,000 - 165,000\nRxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.","description_format":"text","description_chars":6988,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Pharmacies","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-21T12:56:43Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2 · green card filings: 1","filings_12m":2,"filings_prev_12m":3,"green_card_filings_12m":1,"median_offered_wage_usd":162500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":73,"reasons":["conf:1","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/rxsense-senior-data-engineer","json_url":"https://alion.io/job/rxsense-senior-data-engineer.json","meta":{"generated_at":"2026-10-22T23:39:41Z","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":9658,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":4339},"rest":"https://alion.io/mcp/rest/get_company?id=4339"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frxsense-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%2Frxsense-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%2Frxsense-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/rxsense-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frxsense-senior-data-engineer"}]}