JPMorganChase · 1 day ago
Platform Software Engineer III- ETL / AWS/ Python / Pyspark
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients. As a Platform Software Engineer III, you will design and deliver technology products, focusing on building scalable data pipelines and ETL solutions using Python and AWS.
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
Designs, develops, and implements scalable data pipelines and ETL batches using Python/PySpark on AWS
Uses infrastructure as code tools to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, and create frameworks to ingest and distribute data at scale
Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement
Leverage AI coding assist tools to accelerate software development, testing and delivery
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 and 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 3 + years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in software development and data engineering, with demonstrable hands-on experience in Python and PySpark
Proven experience with cloud platforms such as AWS, Azure, or Google Cloud
Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts
Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks
Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3
Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms
Good knowledge of SQL and NoSQL databases, including performance tuning and optimization
Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Preferred
Knowledge of machine learning model lifecycle, AI coding assist tools, and cloud-native MLOps pipelines and frameworks
Familiarity with data visualization tools and data integration patterns
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)
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2025 (3471)
2024 (3469)
2023 (3395)
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2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
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