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 Data Engineering  at JPMorgan Chase within the Alts Platform group, 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 will  focus on building and maintaining data pipelines, analyze complex datasets, and support data-driven decision-making across the organization while gaining the skills and experience needed to grow within your role.

Job responsibilities

Develops data pipelines using Airflow, Python, SQL, and AWS services such as Redshift and S3. Collaborates with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Research and understand complex datasets from multiple sources, ensuring data quality and integrity. Designs and implement data workflows using Apache Airflow to automate data processing tasks. Solves complex data problems iteratively, including accessing, querying, and analyzing data from various systems. Identify and extract relevant data points from multiple data sources to support analytical needs. Implements data quality checks providing visibility of issues to stakeholders Ensures data security and compliance with company policies and industry regulations. Adds to team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and expert applied experience.  Proficiency in Python and SQL for data manipulation and analysis. Experience with AWS services, ideally Redshift and S3. Familiarity with data workflow orchestration tools like Apache Airflow. Strong problem-solving skills and the ability to work independently. Strong communication skills and the ability to collaborate with technical and non-technical stakeholders. A keen interest in learning new technologies and methodologies in data engineering.