Software Engineer III- Data Engineer(Python, Databricks and AWS)

About the job

Job Description:

As a Data Engineer III at JPMorganChase within the  Corporate Sector you 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. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and architectures that support the entire data engineering lifecycle. You will work closely with cross-functional teams to deliver scalable solutions that drive business insights and enable advanced analytics, including AI initiatives.

Key Responsibilities:

• Design, develop, and optimize end-to-end data pipelines using Databricks, Apache Spark, and AWS cloud services.

• Implement and manage workflow orchestration with Airflow.

• Integrate and process streaming data using Kafka.

• 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.

• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.

• Ensure data quality, integrity, and security across all stages of the data lifecycle.

• Develop and maintain ETL processes, data models, and data warehouses.

• Write efficient, maintainable code in Python and SQL for data processing and analysis.

• 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.

• Support AI and machine learning initiatives by preparing and engineering data for model development and deployment.

• Monitor, troubleshoot, and optimize data workflows for performance and reliability.

• Stay current with industry best practices and emerging technologies in data engineering and AI.

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 3+ years applied experience

• Proven experience in the full lifecycle of data engineering, from ingestion to production.

• 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.

• Strong hands-on expertise with Databricks, Apache Spark, AWS (S3, Redshift, Lambda, etc.), Airflow, and Kafka.

• Proficient in Python programming and SQL for data manipulation and analysis.

• Experience with data modeling, ETL development, and data warehousing.

• Familiarity with AI/ML workflows and supporting data pipelines for machine learning.

• Certifications in relevant technologies (AWS, Databricks, Spark, etc.) are highly desirable.

• Excellent problem-solving skills and attention to detail.

• Strong communication and teamwork abilities.

Preferred qualifications, capabilities, and skills

• Experience with containerization (Docker, Kubernetes).
• Knowledge of data governance and compliance standards.
• Exposure to big data tools and frameworks.
• Ability to work in a fast-paced, agile environment.

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

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.

Additional Information

• Job Identification: 210796059
• Job Category: Software Engineering
• Posting Date: 2026-10-23
• Job Schedule: Full time
• Locations: 8181 Communications Pkwy Bldg F, Plano, TX, 75024, US ()