JPMorganChase Logo

JPMorganChase

Data Python Software Engineer III

Posted 5 Hours Ago
Be an Early Applicant
Hybrid
Plano, TX
Mid level
Hybrid
Plano, TX
Mid level
Develop and maintain secure, scalable data pipelines, architectures, models, and analytics solutions. Review enterprise data controls, customize tools and products, validate AI-assisted engineering outputs, and ensure SDLC quality, auditability, resiliency, and security. Use advanced SQL, NoSQL databases, Python, and statistical analysis to support business needs and collaborate with Product Owners. AWS and modern front-end experience are preferred.
The summary above was generated by AI

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. 
As a Data Python Software Engineer III at JPMorganChase within the Commercial & Investment Bank Global Banking Technology team, you will serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. 

Job Responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements. 
  • Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations. 

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and 3+ years applied experience and hands on coding with Python, along with data analytics experience.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. 
  • Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. 
  • Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
  • Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis.
  • Experience customizing changes in tools to generate product outputs and involved with working with Product Owner to analyze and interpret data.

Preferred qualifications, capabilities, and skills

  • Hands on experience with AWS
  • Familiarity with modern front-end technologies
About Us
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

About the TeamJ.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. 

JPMorganChase San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

6 Days Ago
Hybrid
Mid level
Mid level
Financial Services
Design, build, and optimize end-to-end data pipelines and architectures using Databricks, Spark, AWS, Airflow, and Kafka. Develop ETL processes, data models, warehouses, and reliable Python and SQL solutions while ensuring data quality, security, and governance. Collaborate with data scientists, analysts, and stakeholders to support analytics and AI/ML initiatives. Monitor workflows, troubleshoot issues, validate AI-assisted outputs, and improve performance and resiliency.
Top Skills: Amazon RedshiftAmazon S3Apache AirflowApache KafkaSparkAWSAws LambdaDatabricksDockerKubernetesPythonSQL
7 Minutes Ago
Hybrid
5 Locations
91K-322K Annually
Senior level
91K-322K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads complex internal investigations involving ethics, business conduct, risk, compliance, independence, and policy violations. Develops investigative plans, conducts fact finding, analyzes policies and regulations, advises leaders on findings and corrective actions, identifies control weaknesses and trends, recommends policy and process improvements, and coaches investigation teams while maintaining confidentiality and sound judgment.
7 Minutes Ago
Hybrid
124K-335K Annually
Senior level
124K-335K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads UX experience design for innovative tax software solutions, translating user needs into intuitive workflows and product interactions. Conducts user research, usability testing, systems thinking, persona development, and journey mapping to guide human-centered design. Collaborates with cross-functional teams, validates outcomes with clients, coaches design teams, and manages complex projects while incorporating feedback and emerging technologies.
Top Skills: Human-Centered DesignUsability TestingUser ResearchUx Design

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account