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.
As a Data Engineer II at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Organizes, updates, and maintains gathered data that will aid in making the data actionable. Enhance data protection controls to ensure the security and integrity of enterprise data.
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access. Customize and configure tools to meet specific business or customer requirements, while providing guidance to peers on similar tasks. Updates logical or physical data models based on new use cases with minimal supervision
- 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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 2+ years applied experience
- Proven experience managing the full lifecycle of data, from collection and storage to analysis.
- Understanding of SQL and NoSQL database concepts.
- Demonstrated ability in statistical data analysis, selecting appropriate tools and identifying relevant data patterns for comprehensive analysis.
- Experience implementing custom changes in tools to produce tailored data products.
- Proficiency in Python for data manipulation and analysis. Experience with major cloud platforms such as AWS and Snowflake.
- Familiarity with ETL tools, including Spark and Databricks.
- Extensive knowledge of database management systems, including Oracle and MSSQL.
- Experience with version control systems and tools, including Git, GitHub, GitLab, and Bitbucket.
Preferred qualifications, capabilities, and skills - Knowledge of Data Mesh, data modeling, and domain-driven design.
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 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.
