{"id":3413086,"url":"https://alion.io/job/jpmorganchase-software-engineer-iii-python-databricks-33","title":"Software Engineer III- Python, 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":90,"open_postings":1151,"ghost_share":0.01,"stale_share":0.533,"repost_share":0.06,"time_to_fill_p50_days":12,"computed_at":"2026-10-30T05:48:23Z"}},"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":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":256000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Machine Learning","optional":true},{"name":"OpenSearch","optional":true}],"status":"live","first_seen_at":"2026-10-22T17:13:56Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-30T16:55:46Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.\nAs a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, you serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for implementing critical technology solutions across multiple technical domains and business functions to support the firm’s strategic objectives. Commercial Banking Technology is executing a top-priority initiative, Client 360, and building a Commercial and Investment Bank-wide Marketing and Events Data Platform. In this role, you will leverage your Big Data engineering expertise to implement platforms that support large-scale data processing on both internal infrastructure and public cloud environments. You will contribute to pioneering efforts to deliver a new Marketing and Events platform for Client 360 while also enhancing and modernizing existing platforms.\nJob responsibilities\nAcquire data from primary or secondary data sources\nIdentify, analyze, and interpret trends or patterns in complex data sets\nTransforming existing ETL logic on AWS Platform or Data Bricks\nInnovate new ways of managing, transforming and validating data\nImplement new or enhance services/scripts\nEstablish and enforce guidelines to ensure consistency, quality and completeness of data assets\nApply quality assurance best practices to all work products\nAnalyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget;\nExperience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred\nComfortable learning cutting edge technologies and applications to greenfield project\nRequired qualifications, capabilities, and skills\nAdvanced knowledge of application, data and infrastructure architecture disciplines \n3+ years of Experience with Python \n2+ years of Experience in Java Development\n2+ Experience in a Big Data technologies (e.g. AWS, Spark, Kafka, Data Bricks etc.)\nExperience in writing efficient SQL's\nExperience in implementing complex ETL transformations on big data platform\nStrong Experience with UNIX shell scripting to automate file preparation and database loads\nExperience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues\nFamiliarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.\nStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy\nStrong development discipline and adherence to best practices and standards.\nPreferred qualifications, capabilities, and skills\nAbility to manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever-evolving business needs\nDemonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems\nMust be able to communicate complex issues in a crisp and concise fashion to multiple levels of management\nExcellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations\nExperience in Data Science, Machine Learning and AI is a plus\nFinancial Services and Commercial banking experience is a plus\nFamiliarity with NoSQL platforms(MongoDB, AWS Open Search) is a plus \nExposure to cloud 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