Data Engineer II

As a Data Engineer II at JPMorgan Chase, you will be a key member of the Analytics Engineering & Enablement Team, tasked with advancing our data infrastructure and analytics capabilities. Your role involves enhancing, designing, and delivering robust data solutions that ensure secure, stable, and scalable data operations. You will develop, test, and maintain critical data pipelines and architectures, supporting various technical domains across multiple business functions to align with the firm’s strategic goals.

Job Responsibilities:

• Enhance data protection controls to ensure the security and integrity of enterprise data.
• 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
• Utilize SQL extensively and maintain proficiency in NoSQL databases, understanding their unique roles within the industry.
• Collaborate with cross-functional teams to support data-driven decision-making processes.

Required qualifications, capabilities, and skills

• Proven experience managing the full lifecycle of data, from collection and storage to analysis.
• Advanced at SQL (e.g., joins and aggregations)
• Understanding of NoSQL databases and their applications.
• 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.
• Minimum of 3 years of experience in data engineering or a related field.
• Proficiency in Python for data manipulation and analysis.
• Experience with major cloud platforms such as AWS and Snowflake.
• Extensive knowledge of database management systems, including Oracle and MSSQL.
• Understanding of SQL and NoSQL database concepts.
• Experience with version control systems and tools, including Git, GitHub, GitLab, and Bitbucket.

Preferred qualifications, capabilities, and skills

• Familiarity with ETL tools, including Spark and Databricks
• 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.