Data Engineer - Cyberops

JPMorgan Chase is seeking a Data Engineer to join their Cybersecurity and Technology Controls team. This role offers an opportunity to shape the future of cybersecurity while working with cutting-edge technologies to develop and implement robust data solutions.

As a Data Engineer, you'll be responsible for analyzing complex data structures, ensuring data accuracy, and enhancing security analytics capabilities. You'll work with cross-functional teams to drive innovation and implement scalable solutions that protect digital assets. The role involves developing and implementing processes to identify and mitigate data risks, designing scalable solutions for efficient data processing, and building robust systems capable of handling large data volumes.

The ideal candidate should have strong expertise in Python and Java development, with at least 5 years of experience in Python and SQL. You should be proficient in database management, including both SQL and NoSQL databases, and have extensive experience with Big Data technologies like Spark, Hive, Redshift, and Kafka. Knowledge of ETL/ELT frameworks and tools is essential, as is experience with real-time and streaming applications.

JPMorgan Chase offers a competitive compensation package including base salary, potential commission-based pay, and discretionary incentive compensation. Benefits include comprehensive healthcare, retirement savings, tuition reimbursement, and mental health support. The company values diversity and inclusion, making it an equal opportunity employer that accommodates various needs and backgrounds.

This role presents an excellent opportunity to work with a leading financial institution while contributing to critical cybersecurity initiatives and advancing your career in data engineering.