Software Engineer II - Big Data

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Corporate Sector - Enterprise Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software 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

• Works on Data storage solutions(Data Lakes, Data mesh, Snowflake, S3, Data Pond)
• Experience with data preprocessing, Feature Engineering , ETL (Extract Transform Load) process and data pipeline creation.
• Supports review of controls to ensure sufficient protection of enterprise data
• Frequently uses SQL and understands NoSQL databases (Cassandra) and graph Databases(Tigergraph)
• Adds to team culture of diversity, equity, inclusion, and respect.
• Collaborate effectively with data scientists, engineers, and other stakeholders, and a willingness to stay updated with the latest trends in ML and MLOps.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experienced in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages Strong development skills in Java, Python, or Scala
• Knowledge of data preprocessing, ETL processes, and data pipeline creation.
• Experienced with data storage solutions, including SQL, NoSQL databases (Cassandra ), Data Lakes, and S3.
• Proficiency in using cloud services like AWS EMR, EKS, EC2, and S3 for deploying and managing Machine Learning models.
• Experienced with Continuous Integration & Continuous Deployment processes using tools like Jenkins and Spinnaker.
• Ability to deploy, scale, and manage ML models in production environments, optimizing for performance and cost-efficiency.
• Strong analytical and troubleshooting skills, with the ability to diagnose and resolve issues in Machine Learning pipelines and production systems.

Preferred qualifications, capabilities, and skills

• Familiarity with logging and monitoring tools such as Kibana, Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.

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 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 pract