Software Engineer II - Data Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer II at JPMorgan Chase within the Corporate Data Services, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
 

• Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Adds to team culture of diversity, equity, inclusion, and respect.
   

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience.
• Experience designing and implementing data pipelines in a cloud environment is required (e.g., Apache NiFi, Informatica).
• Strong experience in  migrating/developing data solutions in the AWS cloud is required, with experience needed in AWS Services and Apache Airflow.
• Building/implementing data pipelines using Databricks, such as Unity Catalog, Databricks Workflow, and Databricks Live Table.
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
•  Hands-on object-oriented programming experience using Python (especially PySpark) to write complex, highly optimized queries across large volumes of data.
• Knowledge or experience in big data technologies such as Hadoop/Spark, and in data modeling and ETL processing.
• Hands-on experience in data profiling and advanced PL/SQL procedures.

Preferred qualifications, capabilities, and skills

• Familiarity with Oracle, ETL, and data warehousing, with cloud expertise being a plus.
• Exposure to cloud technologies.

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.