{"id":3627691,"url":"https://alion.io/job/abbvie-senior-data-and-analytics-engineer","title":"Senior Data and Analytics Engineer","company":{"id":3660,"name":"AbbVie","domain":"abbvie.com","url":"https://alion.io/company/abbvie","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":75,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":109500,"max":208500,"currency":"USD","period":"year","gross":null,"usd_annual":208500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Alation","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-02T15:37:18Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-08T00:50:44Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About AbbVie\nAbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.\n The Senior Data and Analytics Engineer will be responsible for translating complex business and data requirements into scalable, secure, and high-performing analytics and data engineering solutions for the Operations (Supply Chain) organization. The role will partner closely with internal DATA (Data, AI, Transformation and Automation) teams, and cross functional Business Technology Solutions (BTS), business stakeholders, architects, and delivery teams to understand strategic priorities and design, build, and deliver modern data solutions that enables analytics, business intelligence, and AI use cases.\nThis role requires a strong combination of hands-on technical expertise and strategic thinking, understanding the North Star platform architecture to implement practical engineering solutions while ensuring alignment with enterprise architecture, development standards, data governance, security, and engineering best practices.\nThe individual will also provide technical leadership throughout the solution lifecycle, proactively manage technical risks and dependencies, and communicate effectively with both technical and business stakeholders.\nResponsibilities\nHands-on engineering and solution delivery: Design, develop, test, deploy, and support production-grade data pipelines and data products for structured, semi-structured, and unstructured data. Build for both batch and near-real-time/streaming patterns, with reusable components, parameterized frameworks, and automated recovery. \nLakehouse and modern data warehouse architecture: Implement solutions using Amazon S3, Apache Iceberg/open table formats, AWS Glue Data Catalog, Amazon EMR/Spark, Amazon Redshift and Redshift Spectrum. Apply medallion patterns (Bronze, Silver, Gold), dimensional and domain-oriented modeling, workload isolation, partitioning, clustering/sort strategies, and performance optimization. \nData product and data mesh enablement: Translate business domains into discoverable, interoperable, and governed data products. Define product contracts, ownership, metadata, quality expectations, service-level objectives, lineage, and approved consumption patterns for dashboards, self-service analytics, APIs, data science, and AI. \nIngestion and orchestration: Engineer reliable ingestion from enterprise applications, databases, files, APIs, and event streams. Develop orchestration using tools such as Apache Airflow, dbt, AWS Step Functions or equivalent approved platforms, with dependency management, idempotency, observability, alerting, and backfill capability. \nData quality, governance, and security: Embed automated data-quality controls, reconciliation, schema validation, lineage, cataloging, retention, encryption, least-privilege access, and auditability. Partner with data governance, security, privacy, architecture, and platform teams to meet AbbVie standards and regulated-industry expectations. \nDevSecOps and engineering excellence: Establish source-control, code-review, automated testing, CI/CD, infrastructure-as-code, environment promotion, release management, and operational monitoring practices. Improve reliability, cost, performance, and developer productivity through measurable engineering standards. \nBusiness partnership and technical leadership: Understands organization's vision, goals, and strategies and partner with DATA, BTS, Operations stakeholders to translate complex requirements into scalable designs. Provide technical direction, resolve design and delivery issues, communicate risks and trade-offs, and contribute to portfolio prioritization and roadmap decisions. \nOperational ownership: Own solutions through the full lifecycle, including production readiness, deployment, support transition, incident resolution, root-cause analysis, technical debt reduction, and continuous improvement. Work with minimal oversight while escalating material risks early. \nRequired:\nBachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related field plus 7 years of relevant experience; Master's Degree plus 6 years of experience; PhD plus 2 years of experience. \nRespective years of hands-on experience designing and delivering enterprise modern data warehouse, Lakehouse, data engineering, and analytical solutions. \nAdvanced proficiency in SQL and Python, with strong hands-on experience in PySpark or Scala and distributed data processing on Apache Spark/EMR or a comparable platform. \nDemonstrated experience building large Lakehouse and modern warehouse solutions using Amazon S3, Apache Iceberg or comparable open table formats, AWS Glue, Amazon EMR, Amazon Redshift, and Redshift Spectrum. \nProven experience with medallion architecture, data modeling, schema design, incremental processing, change data capture, partitioning, performance tuning, and cost optimization. \nExperience developing production-grade batch and streaming data pipelines, including orchestration, retries, backfills, observability, alerting, and operational support. \nHands-on experience with data transformation and orchestration tools such as Apache Airflow, AWS Step Functions or approved equivalents. \nExperience implementing CI/CD, automated testing, Git-based development, infrastructure-as-code, and Agile DevOps delivery practices. \nDemonstrated ability to build governed, AI-ready data products that support BI, self-service analytics, data science, machine learning, and contextual AI consumption. \nStrong analytical, problem-solving, communication, and stakeholder-management skills, with the ability to work effectively across technical and business teams in a matrixed organization. \nExperience with data catalogs, lineage, and governance platforms such as Alation, AWS Glue Data Catalog, or approved equivalents. \nPreferred:\nSupply Chain or Operations domain knowledge across planning, sourcing, inventory, manufacturing, logistics, or distribution. \nExperience with streaming technologies such as Amazon Kinesis, Apache Kafka, Spark Structured Streaming, or equivalent platforms. \nWorking experience with AWS Lake Formation, IAM, Secrets Manager, CloudWatch, CloudTrail, and enterprise controls for secure data platforms. \nExperience exposing data through APIs, semantic models, governed data services, or feature/context layers for AI-enabled applications. \nRelevant cloud or data engineering certifications are beneficial but not required. \n5+ years of hands-on experience designing and delivering enterprise modern data warehouse, Lakehouse, data engineering, and analytical solutions. \nApplicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:\nThe compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.\n\nWe offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.\n\nThis job is eligible to participate in our long-term incentive programs.\n\nNote: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.\nAbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.\nUS & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html\nUS & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:\nhttps://www.abbvie.com/join-us/reasonable-accommodations.html","description_format":"text","description_chars":8789,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Immunology & Inflammation Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-02T20:09:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 236 · green card filings: 57","filings_12m":236,"filings_prev_12m":256,"green_card_filings_12m":57,"median_offered_wage_usd":150555,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+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":75}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":16,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":208500,"is_top_pay":true},"html_url":"https://alion.io/job/abbvie-senior-data-and-analytics-engineer","json_url":"https://alion.io/job/abbvie-senior-data-and-analytics-engineer.json","meta":{"generated_at":"2026-11-08T03:17:39Z","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":7070,"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":3660},"rest":"https://alion.io/mcp/rest/get_company?id=3660"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fabbvie-senior-data-and-analytics-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%2Fabbvie-senior-data-and-analytics-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%2Fabbvie-senior-data-and-analytics-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/abbvie-senior-data-and-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabbvie-senior-data-and-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3627691}},{"tool":"search_jobs","arguments":{"company":"abbvie.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3627691},"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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