Lead Software Engineer - Data Platform

JPMorganChase; Jersey City (NJ); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase is looking for a skilled software engineer in Jersey City. This role involves executing creative software solutions, designing scalable data pipelines, and developing data platform components.

The ideal candidate will have 5+ years of experience, strong skills in programming languages like Python and Java, and hands-on experience with frameworks such as Apache Spark. This position offers a competitive rewards package, comprehensive health coverage, and promotes a culture of diversity and inclusion.

Qualifications

• 5+ years of applied experience in software engineering concepts.
• Hands-on practical experience delivering system design and application development.
• Experience with distributed data processing frameworks such as Apache Spark and Flink.

Responsibilities

• Executes creative software solutions and troubleshooting.
• Designs, builds, and maintains scalable data pipelines.
• Develops data platform components including data quality frameworks.

Skills

Software engineering concepts

Data platform development

Python

Java

SQL

Apache Spark

Kubernetes

Education

Formal training or certification in software engineering

Tools

AWS services (S3, Glue, Redshift)

Kafka

Airflow

Databricks

Docker

Job description

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

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 (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)
• Experience engineering production‑grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance
• 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
• Hands‑on familiarity with Internal Developer Portals such as Backstage – including service catalog management, software templating, and plugin development
• 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)

Benefits

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.

Equal Opportunity Employer

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.