{"id":1010954,"url":"https://alion.io/job/jpmorganchase-etl-java-ai-lead-engineer","title":"Lead Data Engineer - ETL Java AI","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":687,"ghost_share":0.01,"stale_share":0.096,"repost_share":0.108,"time_to_fill_p50_days":6,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":151000,"max_usd":296000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":390},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Shuffle","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"AI Agents","optional":true},{"name":"Airflow","optional":true},{"name":"Apache Hudi","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Dagster","optional":true},{"name":"Delta Lake","optional":true},{"name":"FinOps","optional":true}],"status":"live","first_seen_at":"2026-09-17T14:20:45Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T17:10:42Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":28},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nAs a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Marketing Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.\nJob responsibilities\nExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation\nLead architecture and hands-on delivery of large-scale data pipelines (ETL/ELT) covering ingestion, transformation, validation, reconciliation, and publishing across curated layers\nDesign and operationalize data lake patterns, including partitioning strategies, data quality controls, lineage, governance, and reusable datasets/data products\nBuild and optimize distributed processing workloads using Apache Spark and modern storage/file formats (e.g., Parquet, Avro)\nDrive performance tuning across compute and storage (e.g., Spark tuning: shuffle, joins, caching, skew handling; and warehouse tuning where applicable)\nImplement engineering best practices: code quality, automated testing, CI/CD, observability (metrics/logs/traces), security-by-design, and operational readiness\nBuild and maintain Java-based services and components that support data workflows (e.g., ingestion services, orchestration helpers, APIs, data access layers)\nDevelop REST APIs and integration components to enable downstream consumption and platform interoperability \nApply modern application engineering practices (clean architecture, SOLID principles, test automation, and secure coding practices)\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience \nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\n10+ years of software engineering experience, with strong depth in data engineering/big data platforms\nStrong hands-on development experience in Java plus proficiency in at least one data-focused language such as Python\nProven experience designing and building robust ETL/ELT pipelines and data integration frameworks\nStrong experience with Apache Spark and distributed processing concepts (fault tolerance, partitioning, performance tuning)\nStrong understanding of data storage serialization and formats such as Parquet and Avro\nSolid knowledge of data lake/lakehouse concepts and patterns (e.g., Medallion architecture), including data quality, metadata, and governance considerations\nExperience working with cloud data warehouses such as Snowflake (loading/unloading patterns, performance basics) or equivalent\nAbility to lead technical discussions, communicate clearly to varied stakeholders, and drive delivery in cross-functional environments\nPreferred qualifications, capabilities, and skills\nExperience with orchestration and workflow scheduling tools (e.g., Airflow, Dagster, Control-M, etc.) \nExposure to streaming/event-driven processing (e.g., Kafka, Spark Structured Streaming) and incremental processing patterns (CDC, upserts)\nExperience with table formats / ACID layers (e.g., Delta Lake, Apache Iceberg, Hudi). \nStrong production operations mindset (on-call practices, SLAs/SLOs, observability, incident response). \nExperience in regulated environments (risk, audit, compliance, privacy, PII handling). \nExperience with cost optimization / FinOps practices for data platforms.\nExperience with working with Agentic AI / Gen AI solutions and capabilities will be an added advantage.","description_format":"text","description_chars":5074,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Artificial Intelligence","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-17T19:53:19Z"},{"event":"close","at":"2026-09-26T21:12:26Z"},{"event":"reopen","at":"2026-09-27T00:28:19Z"},{"event":"close","at":"2026-10-02T03:56:58Z"},{"event":"reopen","at":"2026-10-08T03:38:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3,429 · green card filings: 933","filings_12m":3429,"filings_prev_12m":3601,"green_card_filings_12m":933,"median_offered_wage_usd":160366,"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":451}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.377,"p_room":0.35,"age_days":28,"expected_fill_days":6,"reasons":["conf:0","velocity","win:tail","comp:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-etl-java-ai-lead-engineer","json_url":"https://alion.io/job/jpmorganchase-etl-java-ai-lead-engineer.json","meta":{"generated_at":"2026-10-16T19:37:30Z","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":5324,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":257},"rest":"https://alion.io/mcp/rest/get_company?id=257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjpmorganchase-etl-java-ai-lead-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%2Fjpmorganchase-etl-java-ai-lead-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%2Fjpmorganchase-etl-java-ai-lead-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/jpmorganchase-etl-java-ai-lead-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-etl-java-ai-lead-engineer"}]}