DescriptionYou’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 Technology - Risk 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.
We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and systems to support our data-driven decision-making processes. This role requires a strong understanding of data architecture, data modeling, and ETL processes.
Job responsibilities
- Develops, and maintain robust data pipelines and ETL processes to ingest, process, and store large volumes of data from various sources.
- Collaborates with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Optimizes and improves existing data systems for performance, scalability, and reliability.
- Implement data quality checks and validation processes to ensure data accuracy and integrity.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption.
- Stay up-to-date with industry trends and best practices in data engineering and incorporate them into our processes.
- Adds to team culture of diversity, equity, inclusion, and respect
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
- Experience 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, such as, Python, Java or Spark
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Hands on experience as a Data Engineer or similar role.
- Strong proficiency in SQL and relational databases (e.g., MySQL, PostgreSQL).
- Experience with containerization and orchestration tools, especially Kubernetes.
- Proficiency with AWS services like EKS, EMR, Lambda, DynamoDB, and ECS.
Preferred qualifications, capabilities, and skills
- Knowledge of Hadoop, Spark or Terraform concepts and frameworks
- Familiarity with data warehousing solutions, especially Snowflake, and ETL tools
- Experience with Airflow or AWS MWAA
- AWS Certification