Software Engineer III - Python/PySpark/Databricks/AWS

JPMorgan Chase & Co.
Wilmington, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Wilmington, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Software Applications
Automation of Tests
Unit Testing
Cloud Computing
Code Generation
Software Quality
Code Review
Continuous Integration
Data Validation
Identity and Access Management
Python
Key Management
Metadata
Modular Design
Networking Basics
Performance Tuning
Software Tools
Secure Coding
Software Engineering
Software Systems
Data Streaming
Systems Architecture
Toolchain
Data Logging
Data Processing
Spark
Caching
Amazon Web Services (AWS)
Data Lake
PySpark
Integration Tests
Production Code
Front End Software Development
Software Version Control
Databricks
Programming Languages

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level., As a Software Engineer III - Python/PySpark/Databricks/AWS at JPMorganChase within the Corporate Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives., * 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 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
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies 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., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Requirements

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Experience building and operating Databricks Lakehouse solutions hosted on Amazon Web Services (AWS), including Amazon S3, Identity and Access Management (IAM), Key Management Service (KMS), basic networking concepts (VPC/security groups), and logging/auditing.
  • Experience using Delta Lake (ACID-compliant tables, partitioning strategies, schema evolution) and Apache Spark on Databricks, including performance optimization (cluster sizing, skew mitigation, join strategies, caching, and file sizing/compaction).
  • Experience delivering batch and streaming data pipelines (Structured Streaming, incremental processing, backfills, late-arriving data handling) and implementing governance/security controls in Databricks (e.g., Unity Catalog, table/column-level permissions, credential passthrough where applicable), with operational ownership including monitoring/alerting, incident response, root-cause analysis (RCA), and service level objective/service level agreement (SLO/SLA) management.
  • Advanced in one or more programming language(s) including Python, PySpark
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Architect Databricks Lakehouse solutions, including bronze/silver/gold (or equivalent) layering and domain-oriented data products; implement resilient, scalable ingestion from AWS sources into Databricks using batch and streaming patterns (including CDC where required).
  • Build maintainable pipelines using Delta Live Tables (DLT) and/or Databricks Jobs/Workflows with modular design, documentation, and runbooks; ensure production readiness through retries, checkpointing, idempotency, safe re-runs, and defined replay/backfill procedures; implement testing practices including unit/integration tests, data quality checks, and contract testing; Apply governance-by-design controls (least privilege, PII classification, auditing, lineage/metadata, controlled sharing/consumption); optimize Spark/Delta performance and cost (cluster right-sizing, storage layout, job/warehouse spend); lead design/code reviews and mentor engineers; partner cross-functionally with stakeholders and security/platform teams; deliver CI/CD and infrastructure-as-code for Databricks + AWS with promotion across environments and strong version control/code review discipline.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • Retirement plan, We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

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 under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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