Data Engineering Associate

Next Frontier Capital; Kentucky; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Career growth opportunities

Job summary

JPMorganChase is seeking a Software Engineer III to design, develop, and deliver scalable software solutions that power critical business operations. You will work in a collaborative engineering team, applying your expertise across the full software development lifecycle to improve reliability and performance.

You will engage in agile ceremonies, contribute to code reviews, and leverage enterprise AI-assisted development tools to increase productivity while upholding security and quality

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Strong data modeling with ERwin, including normalization and dimensional modeling techniques.
• Databricks data engineering platform usage, ETL/ELT pipelines, performance tuning and partitioning.
• Proficiency in SQL with joins, analytics, window functions, and query optimization.
• Oracle experience: DDL/DML, PL/SQL, procedures/functions/packages, and performance tuning.
• Handling JSON and semi-structured data: parsing, flattening, schema evolution.
• Experience with Databricks Genie Spaces and ThoughtSpot integration to Databricks.
• Git-based workflows with Bitbucket and/or GitHub; comfortable with IntelliJ IDEA or similar IDEs.
• Strong problem solving and debugging across ingestion, transformation, and serving layers.
• Experience using enterprise AI-assisted development tools with critical evaluation of outputs for correctness and security.
• Understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Design and develop high-quality, scalable software solutions aligned with business and technical requirements.
• Contribute to all phases of the software development lifecycle, including design, coding, testing, and deployment.
• Collaborate with cross-functional teams (product, architecture, operations) to deliver end-to-end solutions.
• Identify and resolve technical issues, performing root cause analysis to prevent recurrence.
• Write clean, maintainable code and participate in peer code reviews to uphold standards.
• Support CI/CD pipelines to improve deployment frequency and reliability.
• Contribute to technical documentation for internal and external stakeholders.
• Participate in agile ceremonies, contributing to sprint planning and retrospectives.
• Leverage AI-assisted coding tools while validating outputs through peer review and testing.
• Apply SDLC tooling to improve automation and value realization.

Skills

Software engineering concepts

Data modeling

Databricks

SQL

Oracle PL/SQL

JSON handling

AI-assisted development tools

Git workflows

Debugging

Responsible AI

SDLC tooling

Tools

Databricks Genie Spaces

ThoughtSpot

IntelliJ IDEA

Bitbucket/GitHub

Job description

Join a team where your engineering skills directly shape the technology powering millions of customers and businesses worldwide. At JPMorganChase, we invest in our engineers, offering the tools, mentorship, and scale to help you grow from a strong individual contributor into a well-rounded technologist.

As a Software Engineer III at JPMorganChase, you will contribute to the design, development, and delivery of scalable software solutions that support critical business operations. You will work within a collaborative engineering team, applying your technical expertise to solve complex problems while growing your skills across the full software development lifecycle. Your work will directly impact the reliability, performance, and innovation of systems used by clients and colleagues across the firm.

Job responsibilities

• Design and develop high-quality, scalable software solutions aligned with business and technical requirements
• Contribute to all phases of the software development lifecycle, including design, coding, testing, and deployment
• Collaborate with cross-functional teams including product, architecture, and operations to deliver end-to-end solutions
• Identify and resolve technical issues, performing root cause analysis to prevent recurrence
• Write clean, maintainable code and participate in peer code reviews to uphold engineering standards
• Support continuous integration and continuous delivery pipelines to improve deployment frequency and reliability
• Contribute to technical documentation, ensuring clarity and accuracy for internal and external stakeholders
• Participate in agile ceremonies, providing input on sprint planning, estimation, and retrospectives
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong data modeling expertise with proven experience modeling tables using ERwin, including normalization and dimensional modeling techniques
• Strong hands-on experience with Databricks as a data engineering platform, including building and optimizing ETL/ELT pipelines (performance tuning, partitioning, file sizing, and incremental loads)
• Strong proficiency in SQL, including advanced techniques such as joins, analytics and window functions, and query optimization
• Strong Oracle experience, including DDL/DML and schema design best practices, PL/SQL development (procedures, functions, and packages), and Oracle performance tuning (execution plans, indexes, partitioning, and statistics)
• Experience handling JSON and semi-structured data, including parsing, flattening, and schema evolution considerations
• Experience working with Databricks Genie Spaces and ThoughtSpot integration to Databricks
• Proficiency with Git-based workflows using Bitbucket and/or GitHub, with comfort working in IntelliJ IDEA or similar integrated development environments
• Strong problem-solving and debugging skills across ingestion, transformation, and serving layers
• 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

• Experience enabling or administering Unity Catalog, including catalog and schema design, permissions management, and lineage and metadata patterns
• Experience working in an agile or scrum delivery environment
• Exposure to containerization and orchestration technologies such as Docker or Kubernetes
• Familiarity with CI/CD tooling and DevOps practices
• Knowledge of financial services technology or regulated industry environments

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.

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.

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

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. Join a team where your engineering skills shape technology powering millions of customers and businesses worldwide.