{"id":3039393,"url":"https://alion.io/job/exl-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":266,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":93900,"max":154200,"currency":"USD","period":"year","gross":null,"usd_annual":154200},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubeflow","optional":true},{"name":"Pandas","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Polars","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-05-18T17:26:59Z","employer_posted_date":"2026-05-18","last_verified_at":"2026-10-28T23:19:12Z","board_verified":true,"closed_at":null,"days_open":163,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":162},"description":"EXL is hiring a Senior Data Engineer to join a strategic AI / ML platform engagement with a leading specialty retailer. This is a hands-on build role embedded with the client's platform engineering team.\nThe role requires shipping production-grade data pipelines that feed real-time customer event data into machine learning workflows. The right person is comfortable owning the full lifecycle of pipeline design, build, and deployment: from streaming ingestion through event store design to model-ready feature delivery.\nThis is a high-visibility role with growth potential into a larger book of work as the engagement expands.\nSalary Range: $93,900 - $154,200 annual base\nThe posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.\n What You'll Do\nDesign and operate event-driven data pipelines using Kafka consumers and Flink jobs to process high-volume customer events (clicks, purchases, returns) in near-real time.\nBuild and optimize large-scale data transformations on Google Cloud Platform - BigQuery SQL, query performance tuning, and partitioning strategy at scale.\nDevelop Python data engineering workloads using Polars or Pandas at scale, with rigorous attention to Parquet partitioning, join performance on large datasets, and memory efficiency.\nBuild, deploy, and maintain ML pipeline components on Kubeflow Pipelines (KFP) and Vertex AI; package and deploy services with Docker.\nDesign event store architecture: partitioning by customer, time-ordered event assembly across heterogeneous sources, and schema management for mixed event types.\nPartner with ML engineers, platform engineers, and data scientists to deliver clean, performant, model-ready data products.\nDocument architecture decisions and contribute to engineering standards across the platform team.\n Required Skills & Experience\n6-12 years of experience in data engineering, platform engineering, or a closely related discipline.\nStreaming: Production experience with Kafka consumers and Flink stream processing - building, deploying, and operating streaming jobs at meaningful scale.\n GCP Data Stack: Strong SQL on BigQuery (or an equivalent cloud warehouse), with demonstrated query optimization, cost management, and partitioning chops.\nPython Data Engineering: Hands-on with Polars or Pandas at scale; deep working knowledge of Parquet partitioning and performance on large joins.\n ML Pipelines: Hands-on experience building and deploying components on Kubeflow Pipelines (KFP) and/or Vertex AI Pipelines; working proficiency with Docker.\n Event Store Design: Demonstrated experience designing event stores - partitioning by customer, time-ordered event assembly across sources, schema strategy for mixed event types (clicks, purchases, returns).\n Communication: Strong written and verbal communication; comfortable being the senior IC voice in design conversations with client stakeholders.\nNice to Have\nDomain experience in Retail or E-commerce - customer journey data, transaction analytics, returns and exchanges modeling.\nExposure to schema registry tooling (e.g., Confluent), Iceberg, or Delta Lake.\nExperience working in client-facing or consulting engagements.\nGoogle Cloud certifications (Professional Data Engineer or equivalent).\nWork Arrangement & Eligibility\nThis role requires 3-4 days per week onsite in Seattle, WA. Fully remote and out-of-state candidates will not be considered.\nEXL is open to sponsoring H1B transfers for qualified candidates.","description_format":"text","description_chars":4143,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-21T22:18:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 281 · green card filings: 17","filings_12m":281,"filings_prev_12m":395,"green_card_filings_12m":17,"median_offered_wage_usd":128641,"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":125}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.146,"p_room":0.28,"age_days":162,"expected_fill_days":15,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":154200,"is_top_pay":true},"html_url":"https://alion.io/job/exl-senior-data-engineer-2","json_url":"https://alion.io/job/exl-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-29T03:41:49Z","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":5670,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-senior-data-engineer-2"},{"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%2Fexl-senior-data-engineer-2"},{"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%2Fexl-senior-data-engineer-2"},{"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/exl-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-senior-data-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3039393}},{"tool":"search_jobs","arguments":{"company":"exlservice.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3039393},"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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