The Data Engineer role at Fidelity focuses on delivering modern data solutions within the Customer Protection Technology space, specifically in the Fraud area. The team is dedicated to solving complex problems through collaboration and effective communication. They emphasize quality work with a strong focus on testability and sound design principles. This position requires a blend of technical expertise and the ability to work with a geographically diverse team.

• Bachelor's or Master's degree in a technology-related field is required.
• A minimum of 2 years of experience in data engineering, analysis, and data warehousing.
• Experience with relational database technologies, preferably Snowflake or similar cloud data warehousing services.
• Programming experience in Java, Python, and Angular is required.
• Hands-on experience with data movement technologies such as ETL/ELT.
• Practical experience in delivering and supporting cloud strategies.

• Engage in the design and development of data services to support the Fraud data team.
• Deliver and support data solutions that meet customer expectations.
• Collaborate with a geographically diverse team to solve complex problems.
• Communicate technical challenges and solutions to business partners and technology leadership.
• Adapt to changing workloads and challenges in the technology landscape.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.