JPMorganChase · 20 hours ago
Python Data Engineer II
JPMorganChase is a leading financial services firm that helps individuals and businesses achieve their financial goals. As a Data Engineer II, you will be part of an agile team responsible for enhancing, designing, and delivering data solutions, while executing data solutions through the development and technical troubleshooting of various components within a technical product or system.
Asset ManagementBankingFinancial Services
Responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Qualification
Required
Formal training or certification on Software Engineering concepts and 2+ years applied experience
Experience in ETL process/Advance concepts
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools
Preferred
Python Advance development skills / Kafka & S3 integration in Performance optimization
Experience in carrying out data analysis to support business insights
Strong in PySpark, AWS, & Snowflake
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
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