The Role

We are seeking a Senior Data Engineer to build critical data capabilities and modernize our platform. In this role, you will ensure that core data components seamlessly integrate with enterprise-wide initiatives such as Universal ID (UID) and Unified Customer Profile (UCP).

You will apply cloud-native AWS technologies to design and develop innovative frameworks and tools that enable scalable, efficient data management and position the platform for long-term success. The role includes reverse engineering existing on‑premise data capabilities and driving their migration to the cloud.

This position plays a critical role in delivering Fidelity’s mission to create the best customer experiences in financial services, offering meaningful technical impact and opportunities to innovate.

The Expertise and Skills You Bring

• Bachelor’s or Master’s degree in a technology-related field such as Computer Science, Computer Engineering, or similar.
• Strong written and verbal communication skills, with the ability to collaborate effectively in globally distributed, Agile teams.
• Demonstrated ability to analyze complex challenges from multiple perspectives and solve problems independently or collaboratively.
• Experience developing, debugging, validating, monitoring, and resolving issues across development, testing, and production environments.
• Hands-on experience with SQL and PL/SQL, along with a strong understanding of data modeling and ETL/ELT concepts and tools.
• Experience working with relational databases (e.g., Oracle, PostgreSQL) and NoSQL databases (e.g., DynamoDB, Elasticsearch).
• Proficiency in one or more programming languages such as Python, Java, and Unix/Linux scripting.
• Experience with DevOps practices and CI/CD pipelines using tools such as Git, Maven, Jenkins, uDeploy, Stash, Ansible, or equivalent.
• Practical experience with AWS services including EC2, S3, Lambda, SNS, and SQS; AWS Associate, Professional, or Specialty certifications are a strong plus.
• Familiarity with streaming and messaging technologies such as Kafka or similar platforms (e.g., Kinesis, SNS, SQS) is a plus.
• A strong desire and ability to continuously learn, adapt, and implement new technologies.
• OLTP experience is required.