Description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

SENIOR DATA ENGINEER

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.

The Team

Are you an experienced data engineer with a passion for delivering high-impact, operational customer data solutions that integrate across a large enterprise? Do you want to be part of an exciting data platform modernization journey?

You'll join the Customer Identity and Profile Product within Fidelity Enterprise Technology's Data & AI group-a collaborative, forward-thinking team that values innovation, intellectual curiosity, and continuous learning. The team fosters an environment where engineers work together, explore new ideas, and grow their skills while solving complex problems at scale.

Certifications:

Category:

Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.



r1d4rh5eu