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.
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
Skills Required
- Formal training or certification in data engineering concepts
- At least 3 years of applied data engineering experience
- Experience across the full data engineering lifecycle, from ingestion through production
- Experience using enterprise-authorized AI capabilities in data engineering workflows
- Ability to review and validate AI-assisted outputs before use
- Hands-on expertise with Databricks, Apache Spark, AWS, Airflow, and Kafka
- Proficiency in Python and SQL
- Experience with data modeling, ETL development, and data warehousing
- Familiarity with AI/ML workflows and data pipelines for machine learning
- Strong problem-solving, attention to detail, communication, and teamwork skills
- Relevant AWS, Databricks, or Spark certifications
- Experience with Docker or Kubernetes
- Knowledge of data governance and compliance standards
- Exposure to big data tools and frameworks
- Experience working in a fast-paced, agile environment
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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