You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
Job responsibilities
- Organizes, updates, and maintains gathered data that will aid in making the data actionable
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data analysis support and technical documentation (e.g., clarifying requirements and drafting data definitions), validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted approaches to improve data quality checks and model/change validation routines, ensuring results are validated and aligned to resiliency and security expectations.
- Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases with minimal supervision
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 2+ years applied experience
- Basic knowledge of the data lifecycle and data management functions. Experience across the data lifecycle, building Data frameworks, working with Data lakes. Experience with Batch and Real time Data processing with Spark or Flink.
- Working experience with both relational and NoSQL databases. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Experience working with Databricks, Python/Java, PySpark etc.
- Working knowledge of AWS Glue and EMR usage for Data processing and in building services using Spring Boot or Flask and deploying them on AWS EKS or Kubernetes.
- Working knowledge of 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 or model change summaries) before use, escalating when uncertain and following data handling requirements.
- Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
- Basic knowledge of data system components to determine controls needed
- Cloud computing: Expertise in Amazon Web Services (AWS), Docker, and Kubernetes for cloud-native and containerized data solutions.
- Experience in big data technologies: Hadoop, Spark, Kafka.
- Experience in distributed system design and development
Skills Required
- Formal training or certification in data engineering concepts
- At least 2 years of applied data engineering experience
- Knowledge of the data lifecycle, data management functions, data frameworks, and data lakes
- Experience with batch and real-time data processing using Spark or Flink
- Experience with relational and NoSQL databases
- Experience developing batch and real-time ETL pipelines and data warehouses
- Experience with Databricks, Python or Java, and PySpark
- Working knowledge of AWS Glue and EMR for data processing
- Experience building services with Spring Boot or Flask
- Experience deploying services on AWS EKS or Kubernetes
- Working knowledge of enterprise-authorized AI capabilities for data engineering workflows
- Ability to review and validate AI-assisted outputs and follow data handling requirements
- Significant experience with statistical data analysis and selecting appropriate analysis tools
- Basic knowledge of data system components and required security controls
- Expertise in AWS, Docker, and Kubernetes for cloud-native and containerized data solutions
- Experience with Hadoop, Spark, and Kafka
- Experience in distributed system design and development
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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