Software Engineer III - Data/Payments Technology

Next Frontier Capital; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join the Sales Enablement Data Technology team. You will be part of an agile team delivering secure, scalable data solutions across cloud and on-premises environments.

You will build and maintain data platforms using Databricks, Snowflake, Iceberg, PostgreSQL, and Oracle, focusing on data quality, performance, and reliability while supporting analytical and operational workloads.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Experience with Big Data ecosystems (Databricks, Snowflake, Iceberg) and relational/NoSQL databases.
• Proficiency in Python and Java; familiarity with cloud platforms (AWS, Azure, GCP).
• Hands-on experience using enterprise-authorized AI-assisted software development tools with evaluation for correctness, performance, and security.
• Understanding of responsible AI use, data sensitivity, secure handling, and resiliency.
• Experience in developing, debugging, and maintaining code in a large corporate environment with modern languages and SQL.
• Knowledge of SDLC and agile methodologies (CI/CD, security, resiliency).
• Knowledge of data modeling, ETL/ELT, data warehousing, security/compliance.
• Awareness of security best practices and compliance in data handling.
• Strong problem-solving and ability to work independently and collaboratively.

Responsibilities

• Develop, optimize, and maintain data pipelines and ETL for large-scale ingestion and integration across cloud and hybrid environments.
• Collaborate with data scientists, analysts, and stakeholders to deliver scalable data solutions.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs.
• Applies knowledge of SDLC toolchain to improve automation value.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met by code.
• Gathers, analyzes, and visuals from large data sets for continuous software improvement.
• Identify hidden data patterns to drive improvements in coding hygiene and architecture.
• Implement data quality checks, monitoring, observability, and secure coding practices.
• Contribute to automation, troubleshooting, and continuous improvement of data infrastructure.
• Support incident response and troubleshooting related to data pipelines.
• Engage in knowledge sharing to foster innovation and engineer happiness.

Skills

Databricks

Snowflake

Iceberg

Python

Java

Cloud platforms (AWS/Azure/GCP)

AI-assisted development tools

CI/CD

Security best practices

Data modeling

ETL/ELT

Strong problem-solving

SQL

Education

Bachelor’s degree in Computer Science/Engineering/IT or related field

Tools

Docker

Kubernetes

Observability tools

BI/Visualization tools

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 at JPMorganChase within the Commercial & Investment Bank - Sales Enablement Data 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.

As an Associate Engineer, you will contribute to building and maintaining scalable data platforms that support a wide range of business and operational needs. You will work across diverse data ecosystems, including Big Data technologies such as Databricks, Snowflake, and Iceberg, as well as traditional relational databases like PostgreSQL and Oracle. This role requires a flexible approach to data engineering, software engineering supporting both analytical and operational workloads with a focus on data quality, performance, and reliability.

Job responsibilities

• Develop, optimize, and maintain data pipelines and ETL processes for large-scale data ingestion, transformation, and integration across cloud and hybrid environments.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable, reliable data solutions
• 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.
• 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
• Implement data quality checks, monitoring, observability, and secure coding practices aligned with governance and compliance standards
• Contribute to automation, troubleshooting, and continuous improvement initiatives for data infrastructure and platforms.
• Support incident response and troubleshooting related to data infrastructure and pipelines.
• Engage in knowledge sharing and collaboration to foster a culture of innovation and engineer happiness.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience or familiarity with Big Data ecosystems (Databricks, Snowflake, Iceberg) and relational/NoSQL databases.
• Proficiency in programming languages such as Python, Java and familiarity with cloud platforms (AWS, Azure, GCP).
• 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.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of data modeling, ETL/ELT processes, data warehousing, and security/compliance best practices.
• Awareness of security best practices and compliance requirements in data handling.
• Strong problem-solving skills and ability to work independently and collaboratively.

Preferred qualifications, capabilities, and skills

• Experience with big data and streaming technologies (Hadoop, Kafka), containerization/orchestration tools (Docker, Kubernetes), and observability tools.
• Certification in cloud data engineering (e.g., AWS Certified Data Engineer Associate).
• Exposure to AI/ML platforms, data science workflows, and financial services or regulated industries.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.

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

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Build next-generation data platforms powering analytics and AI through scalable pipelines, cloud, data and software engineering