{"id":1125498,"url":"https://alion.io/job/abbott-laboratories-principal-data-engineer","title":"Principal Data Engineer","company":{"id":2710,"name":"Abbott","domain":"abbott.com","url":"https://alion.io/company/abbott","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":298,"ghost_share":0.003,"stale_share":0.742,"repost_share":0.02,"time_to_fill_p50_days":29,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madison, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":129300,"max":258700,"currency":"USD","period":"year","gross":null,"usd_annual":258700},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitLab CI","optional":false},{"name":"HIPAA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-09-22T21:18:51Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-07T14:52:25Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:\nPosition Overview\nThe Principal Data Engineer (IC) is a senior individual contributor and the accountable technical leader for assigned cross-domain initiatives and enterprise data engineering capabilities. The role owns integrated technical direction and technical outcomes for work spanning multiple data domains, defines and stewards enterprise engineering standards and reference architectures, and drives convergence where duplicated or inconsistent solutions create enterprise cost, risk, or operational burden. The role advises on scope, sequencing, capacity, dependencies, and technical debt, but does not independently commit domain resources or business delivery dates. This position has no people-management responsibility.\nEnterprise Data operates a domain-aligned model built on Databricks and Unity Catalog. Working with Domain Leaders, Staff Engineers, Platform Engineering, and partner organizations, the role converts ambiguous enterprise needs into executable architecture and carries the most complex or highest-risk work through validation and production. The role remains hands-on through prototyping, reference implementations, critical-path development, design and code review, and production problem solving.\nThis role is based in Madison, WI.\nEssential Duties\nInclude, but are not limited to, the following:\nCross-domain technical leadership and delivery\nOwn the technical outcome of assigned cross-domain initiatives from initial ambiguity through production and lifecycle support.\nConvert enterprise needs into integrated architecture and executable technical plans, decomposing complex work into deliverable increments across domains.\nCoordinate technical execution across domain Staff Engineers and partner teams, identifying dependencies and architectural risks, and escalating decisions requiring business or delivery authority.\nRemain hands-on through prototypes, reference implementations, critical-path development, technical validation, and production problem solving.\nEnterprise architecture and standards\nDefine, steward, and evolve enterprise data engineering standards, patterns, and reference architectures, and drive convergence where inconsistent or duplicative implementations create enterprise cost, risk, or operational burden.\nLead architecture for assigned enterprise capabilities, including semantic and metrics layers, canonical data models, batch, API, event-driven, and streaming patterns, and governed data products supporting analytics, machine learning, and AI.\nEstablish enterprise data-contract standards covering schemas, service expectations, compatibility, breaking-change policy, and producer-consumer responsibilities, and partner with Platform Engineering to convert recurring cross-domain needs into shared capabilities.\nTechnical leadership and mentorship\nLead enterprise design and code reviews for high-complexity or cross-domain work, and coach and mentor Staff and Senior Engineers across domains without formal people authority.\nCommunicate architecture and technical tradeoffs clearly to engineering, business, and executive stakeholders, and build reusable guidance that increases engineering consistency across Enterprise Data.\nOperational excellence, security, and efficiency\nEvaluate architecture tradeoffs across reliability, scalability, performance, security, privacy, operability, adoption, and technical cost, and drive cost-efficient use of compute, storage, streaming, and orchestration.\nServe as the enterprise technical escalation for incidents involving multiple domains or shared architecture patterns, and lead root-cause analysis and preventive changes for recurring enterprise issues.\nDesign and review architectures handling protected health information to meet applicable security, privacy, lineage, audit, Quality Management System, HIPAA, CLIA, and regulatory requirements.\nProvide technical direction and due diligence for vendor and external-partner solutions, and advance responsible engineering practices including approved AI-assisted development capabilities.\nAbility to work nights and/or weekends, as needed.\nMinimum Qualifications\nBachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering. \nExpert-level experience with software development design and development and with relevant domain specific skills (see below).\nSpark on Databricks or comparable platforms; Python, Scala, SQL, and Snowflake experience.\nETL and ELT data pipelines, including batch and event-driven patterns.\nDesigning and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.\nDatabase architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.\nOpen data file and table formats (Parquet, Avro, Delta Lake); cloud infrastructure and delivery services (AWS, S3, SQS, and GitLab CI/CD).\nREST API development; familiarity with BI concepts and Tableau performance considerations.\nAgile development tools; including, but not limited to, JIRA, Confluence repository.\nDemonstrated ability to lead through influence across multiple teams and communicate complex technical decisions to senior engineering, business, and executive stakeholders.\nDemonstrated ability to perform the essential duties of the position with or without accommodation.\nPreferred Qualifications\nDatabricks, Apache Spark, Delta Lake, and Unity Catalog at enterprise scale.\nKafka, change data capture, and production event-streaming architectures.\nSemantic or metrics layer design, canonical data models, and governed data products.\nCloud data architecture in AWS, Azure, or Google Cloud Platform.\nLife sciences, diagnostics, or clinical laboratory environments involving protected health information, HIPAA, CLIA, FDA, or Quality Management System requirements.\nTechnical assessment and architecture direction for vendor and external-partner platforms.\nThe base pay for this position is\n$129,300.00 - $258,700.00In specific locations, the pay range may vary from the range posted.\nJOB FAMILY:\nProduct DevelopmentDIVISION:\nONCO Cancer DiagnosticsLOCATION:\nUnited States > Madison : 1 Exact LaneADDITIONAL LOCATIONS:\nWORK SHIFT:\nStandardTRAVEL:\nYes, 5 % of the TimeMEDICAL SURVEILLANCE:\nNoSIGNIFICANT WORK ACTIVITIES:\nContinuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf","description_format":"text","description_chars":7086,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Cardiovascular Devices","Diabetes Devices","Neurotech & Neuromodulation"],"lifecycle":[{"event":"open","at":"2026-09-22T21:18:51Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.547,"p_room":0.36,"age_days":45,"expected_fill_days":29,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":258700,"is_top_pay":true},"html_url":"https://alion.io/job/abbott-laboratories-principal-data-engineer","json_url":"https://alion.io/job/abbott-laboratories-principal-data-engineer.json","meta":{"generated_at":"2026-11-08T00:47:04Z","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":1682,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":2710},"rest":"https://alion.io/mcp/rest/get_company?id=2710"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fabbott-laboratories-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%2Fabbott-laboratories-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%2Fabbott-laboratories-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/abbott-laboratories-principal-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabbott-laboratories-principal-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1125498}},{"tool":"search_jobs","arguments":{"company":"abbott.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1125498},"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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