Data Engineer II

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 JP Morgan Wealth Management business line, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and supports 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. The successful candidate will work in lock-step with Analysts, Data scientists, Data Owners, Product Managers and other stakeholders across organization. You will: Develop and improve the current data architecture, data quality, monitoring and data availability

Job responsibilities

As a Data Engineer, you will build a variety of big data analytics solutions, including big data lakes. More specifically, you will:

• Organize, update, and maintain gathered data that will aid in making the data actionable
• Demonstrate knowledge of the data system components to determine controls needed to ensure secure data access
• Update logical or physical data models based on new use cases with minimal supervision
• Design and build scalable data ingestion pipelines to handle real-time streams, CDC events, and batch data
• Execute high-performance data processing for structured and unstructured data and data harmonization
• Schedule, orchestrate and validate pipelines
• Design exception handling and log monitoring for debugging
• Integrate with firm wide existing framework and tools 
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Practical knowledge of the data lifecycle and data management functions
• Advanced at SQL (e.g., joins and aggregations)
• Working understanding of NoSQL databases
• 4+ years of work experience with ETL, Data Modeling, and Data Architecture.
• 3+ years of work experience with Python, PySpark, Java/ Scala, Athena and other scripting languages.
• Knowledge of AWS services including S3,  EMR, Lambda/Step Functions, Kinesis and RDS.
• Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
• Knowledge of distributed systems as it pertains to data storage and computing
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• Python, Java/Scala, AWS Services (S3, Athena, Glue, lambda etc.), Kafka basics, AWS Certified Solutions Architect, or AWS Certified Developer are a plus

JPMorgan Chase & Co., 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.