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Lead Software Engineer - Data Platform

Job in Austin, Travis County, Texas, 73301, USA
Listing for: J.P. Morgan
Full Time, Commission-based only position
Listed on 2026-09-01
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking
- Data Analytics
- Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Executes creative 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, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and Flink
  • Develops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standards
  • Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption
  • Partners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutions
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated professional experience focused on software engineering or data platform development
  • Advanced in one or more programming languages(s);
    Python, Java and SQL
  • Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink
  • Solid understanding of data modeling techniques (star schema, snowflake) and query optimization
  • Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow
  • Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Experience with Agentic AI, LLMs, RAG architectures, vector databases, and embedding-based retrieval systems
  • Experience with data mesh or data product architectures
  • Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)
  • Experience with data observability, quality, and metadata management tools
  • Experience with semantic layers, metrics stores, or BI platforms (Tableau, dbt Metrics)

ABOUT US

JPMorgan

Chase, 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.

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,…

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