Data Engineer III - Python/AIML

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

  As a Data Engineer III at JPMorgan Chase within Enterprise Technology, 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. 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

 

• Design and develop data pipelines to preprocess and transform data for AI/ML solutions.
• Collaborate with cross-functional teams to understand design requirements and translate them into technical solutions.
• Effectively understand and navigate a complex, enterprise technical stack.
• Monitor and maintain deployed models, ensuring their performance and reliability.
• Design and work with cloud-based architectures.
• Support review of controls to ensure sufficient protection of enterprise data.
• Advise and make custom configuration changes in one to two tools to generate a product at the business or customer request.
• Update logical or physical data models based on new use cases.
• Frequently use SQL and understand NoSQL databases and their niche in the marketplace.
• Add to team culture of diversity, equity, inclusion, and respect.

 

Required qualifications, capabilities, and skills

 

• Formal training or certification on Data Engineering concepts and 3+ years applied experience.
• Experience in software development, including software development life cycle, coding standards, documentation, code reviews, source control management, continuous integration, build processes, testing, and operations experience.
• Demonstrate proficiency in Python, with experience in developing and maintaining production-level code.
• Exhibit proficiency in data engineering, querying various types of data stores, efficiently moving data, working with large datasets, and data preprocessing.
• Have experience with cloud platforms, such as AWS and Azure, for designing and deploying infrastructure to run processes, web apps, and training and inference pipelines for AI/ML models, including handling networking and scaling of these systems.
• Show experience with workflow management and orchestration tools such as Airflow and Kubernetes.
• Possess strong problem-solving and analytical skills.
• Demonstrate excellent documentation, communication, and collaboration skills.
• Have knowledge of infrastructure operations.
• Experience across the data lifecycle.
• Possess significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis.

Preferred qualifications, capabilities, and skills

• Have experience in the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
• Demonstrate experience in machine learning engineering.
• Be familiar with DevOps practices for AI/ML model deployment and monitoring.
• Have knowledge of graph databases and familiarity with graph query languages.

 

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