Data Engineer - Cyberops

One of the oldest financial institutions offering innovative financial solutions to millions of consumers, small businesses and prominent corporate, institutional and government clients.
Plano, TX, USA
$120,000 - $200,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Cybersecurity

Description For Data Engineer - Cyberops

JPMorgan Chase is seeking a Data Engineer within their Cybersecurity and Technology Controls team. This role offers an opportunity to shape the future of cybersecurity while working with cutting-edge technologies. As a Data Engineer, you'll be responsible for developing and implementing robust data solutions, analyzing complex data structures, ensuring data accuracy, and enhancing security analytics capabilities.

The position requires expertise in Python, Java, and SQL, with significant experience in data transformation tools and Big Data technologies. You'll work with modern tools like Kafka, DBT, and various cloud platforms to build scalable data processing solutions. The role involves collaborating with cross-functional teams to drive innovation and protect digital assets.

JPMorgan Chase offers a competitive compensation package including base salary, potential commission-based pay, and comprehensive benefits. The company provides various support systems including healthcare coverage, retirement plans, educational assistance, and mental health support. This role presents an excellent opportunity to work with one of the world's leading financial institutions while contributing to critical cybersecurity initiatives.

The ideal candidate will have 5+ years of experience with Python and SQL, strong expertise in data engineering principles, and a proven track record of building robust data solutions. You'll be joining a team that values innovation, collaboration, and technical excellence while working on projects that directly impact the security of a global financial institution.

Last updated 6 minutes ago

Responsibilities For Data Engineer - Cyberops

  • Develop and implement processes to identify, monitor, and mitigate data risks
  • Design and implement scalable solutions to efficiently process data
  • Build robust systems for large volumes of data
  • Develop solutions using Agile DevOps methodologies
  • Troubleshoot complex data architecture issues
  • Create reusable frameworks
  • Perform root cause analysis
  • Collaborate with key partners
  • Document and enforce data requirements
  • Integrate data from multiple sources

Requirements For Data Engineer - Cyberops

Python
Java
Kafka
PostgreSQL
  • 3+ years experience with data transformation tools like DBT
  • 5+ years experience with Python and SQL
  • Expertise in Python and Java development
  • Experience with Big Data technologies
  • Understanding of ETL/ELT frameworks
  • Experience with Kafka data streaming
  • Experience developing complex SQL statements
  • Understanding of distributed systems and cloud platforms

Benefits For Data Engineer - Cyberops

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
Parental Leave
  • Base salary
  • Commission-based pay
  • Discretionary incentive compensation
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching

Interested in this job?

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