{"id":1419515,"url":"https://alion.io/job/jpmorganchase-data-engineer-iii-analytics-engineer-databricks","title":"Data Engineer III - Analytics Engineer (Databricks)","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":349,"ghost_share":0.011,"stale_share":0.006,"repost_share":0.143,"time_to_fill_p50_days":4,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T14:14:04Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T03:42:54Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance (RM&C), you are at the center of keeping JPMorgan Chase strong and resilient.\nAs an Analytics Engineer Senior Associate at JPMorgan Chase within the RM&C Data Analytics & Intelligent Automation team, you’ll support our analytics engineering roadmap to enable cloud-native BI and analytics. You will consume JPMC’s data products, build and maintain integration/collation pipelines using appropriate ETL tooling, contribute to schema design, and produce high-impact dashboards and self-service analytics products that business teams trust and use.\nDatabricks is the primary platform. You will work across the Lakehouse stack-from ingestion through governed semantic models and self-service consumption-leveraging Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and Databricks Genie, with tools such as Alteryx, Prophecy, Snowflake, Tableau, and Sigma as part of the overall ecosystem.\nJob Responsibilities\nDevelop end-to-end pipelines on Databricks using DLT, Delta Lake, and Unity Catalog for governance, lineage, and access controls.\nBuild ingestion/integration pipelines in Python/PySpark, consuming JPMC’s data products into the Lakehouse; use Alteryx/Prophecy as feeder tools where appropriate.\nImplement a governed self-service layer in Databricks SQL-curated semantic models, intuitive views, and controlled exposure-to enable independent exploration by business teams.\nEnsure proper data governance in partnership with data product owners and data architects, including cataloging, lineage, ownership, and entitlements.\nCommunicate clearly with non-technical stakeholders; turn data into actionable narratives and decisions.\nDeliver executive-ready dashboards and self-service analytics in Tableau and/or Sigma on Databricks-served data.\nUse AI tooling, such as GitHub Copilot, to accelerate development while maintaining independent technical ownership and validating all AI-generated code/documentation.\nRequired Qualifications, Capabilities and Skills\nDegree or certification in Computer Science, Information Systems, Data Engineering, or a related discipline.\n5+ of applied experience in data engineering, analytics engineering, or business intelligence in a complex, regulated environment.\nHands-on ability to design, write, test, and maintain ETL pipelines independently, with strong SQL fluency and production-grade Python, PySpark experience.\nStrong communication skills and a customer-centric mindset, with the ability to engage business users to gather and clarify requirements and support adoption.\nExperience with Databricks, including building and executing pipelines on the platform.\nExperience with self-service analytics platforms, including working knowledge of semantic layers, BI data models, and governed virtualization for non-technical users.\nComfort operating in a controlled environment, including change management and access control, with working knowledge of Git, Jules, and ServiceNow.\nPreferred Qualifications, Capabilities and Skills\nHands-on experience with Alteryx and Prophecy for ETL pipeline development.\nFamiliarity with AWS cloud environments supporting data workloads.\nPrior experience in Risk Management, Compliance, Finance, or Audit, or demonstrated ability to rapidly develop fluency in risk and regulatory subject matter.","description_format":"text","description_chars":3372,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-28T21:47:43Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.78,"p_room":0.9,"age_days":2,"expected_fill_days":4,"reasons":["conf:2","velocity","win:mid","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-data-engineer-iii-analytics-engineer-databricks","json_url":"https://alion.io/job/jpmorganchase-data-engineer-iii-analytics-engineer-databricks.json","meta":{"generated_at":"2026-10-01T13:04:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4651,"day_limit":5000,"remaining_today":349,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}