{"id":136782,"url":"https://alion.io/job/tiger-analytics-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3693,"name":"Tiger Analytics","domain":"tigeranalytics.com","url":"https://alion.io/company/tigeranalytics","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":71,"open_postings":153,"ghost_share":0.49,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":210000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":340},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-17T04:11:55Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":57},"description":"Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.\nWe are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.\nRequirements\nKey Responsibilities:\nDesign, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and related data platform technologies.\nBuild and maintain scalable data processing and transformation workflows using Databricks, Apache Spark, and SQL.\nDevelop and maintain Apache Airflow workflows for pipeline orchestration, scheduling, dependency management, monitoring, and automation.\nIntegrate and process commercial pharmaceutical data sources such as Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and similar sources.\nBuild and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements.\nDesign and implement data pipelines for AI/ML and Generative AI workloads, including structured and unstructured data preparation.\nEnable data pipelines supporting LLM-based applications, vector embeddings, and knowledge retrieval/RAG solutions.\nSupport migration of legacy data systems and pipelines to modern AWS cloud and lakehouse architectures.\nMonitor, troubleshoot, and optimize data pipelines for performance, scalability, reliability, and cost-effectiveness.\nEnsure data pipelines meet required standards for data quality, accuracy, consistency, and operational reliability.\nCommunicate effectively with technical and business stakeholders to understand requirements and translate pharmaceutical business needs into scalable data solutions.\nRequired Skills:\n8+ years of experience in Data Engineering, preferably with experience supporting commercial pharmaceutical/healthcare data environments.\nStrong hands-on experience with AWS cloud, Databricks, Spark, and SQL\nStrong experience building ETL/ELT data pipelines and large-scale data processing workflows.\nHands-on experience with Apache Airflow for workflow orchestration.\nStrong understanding of data modeling, data lake/lakehouse architecture, data ingestion, and transformation frameworks.\nDeep knowledge of commercial pharmaceutical data sources: Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and other commercial pharma data sources\nStrong understanding of pharmaceutical commercial data processes, including: Alignment, Allocation, Split credits, Market basket, Customer universe\nStrong understanding of pharma KPIs, metrics, and commercial analytics.\nStrong analytical, problem-solving, and data troubleshooting skills.\nBenefits\nSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.\n Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.","description_format":"text","description_chars":3920,"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":["MLOps","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-08-20T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 192 · green card filings: 24","filings_12m":192,"filings_prev_12m":238,"green_card_filings_12m":24,"median_offered_wage_usd":154722,"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":1}],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.959,"p_room":0.44,"age_days":57,"expected_fill_days":47,"reasons":["conf:3","wave","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tiger-analytics-senior-data-engineer","json_url":"https://alion.io/job/tiger-analytics-senior-data-engineer.json","meta":{"generated_at":"2026-10-17T04:20:04Z","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":5642,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":3693},"rest":"https://alion.io/mcp/rest/get_company?id=3693"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftiger-analytics-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%2Ftiger-analytics-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%2Ftiger-analytics-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/tiger-analytics-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftiger-analytics-senior-data-engineer"}]}