{"id":3072498,"url":"https://alion.io/job/jpmorganchase-data-engineer-iii-python-databricks-react","title":"Data Engineer III - Python, Databricks, React","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":92,"open_postings":1083,"ghost_share":0.007,"stale_share":0.477,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":185000,"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":"Agile","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"LLMOps","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-08-20T15:21:04Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-23T18:15:56Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"Join us as a Data Engineer and help drive data innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value your expertise, encourage growth, and support your journey to make a lasting impact. Experience a culture that celebrates diverse perspectives and fosters continuous learning.\nJob Summary:\nAs a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical data pipelines and architectures across multiple technical areas, supporting the firm’s business objectives. Your work will drive innovation, operational excellence, and team success, contributing to a collaborative culture that values your ideas and technical skills.\nJob Responsibilities:\nMake data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery\nCollaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of \"AI for Data\"\nDrive adoption of AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate delivery and improve developer productivity\nPartner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches\nImplement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards\nIdentify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements; embed evergreen controls on data flows to improve safety, transparency, and traceability\nDrive insight into areas of efficiency and risk through consolidation and reengineering of data flows\nDevelop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency\nDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data product prototypes\nUses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements\nApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations\nRequired Qualifications, Capabilities, and Skills:\nFormal training or certification on software engineering concepts\nExperience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g., CLO, CMBS, RMBS, ABS)\nProven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows\nExperience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs\nStrong technical skills in data profiling, analysis, and data management using modern tools and environments 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