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Sundayy

Data Engineer, Sr.

Full Time · In Office · USA

Posted Aug 16, 2026

About The Company

Fidelity Investments is a leading global financial services corporation renowned for its commitment to providing innovative investment solutions and superior client service. With a rich history of over 75 years, Fidelity offers a broad spectrum of financial products and services, including asset management, brokerage, retirement planning, and wealth management. The company's core mission is to help individuals and institutions achieve their financial goals through advanced technology, expert insights, and a client-centric approach. Fidelity's dedication to innovation and excellence has established it as a trusted name in the financial industry, serving millions of clients worldwide.

About The Role

We are seeking a highly skilled Data Engineer to join Fidelity's Asset Management Technology team. In this role, you will be instrumental in developing sophisticated data engineering solutions that support critical investment decision-making processes. You will work with a talented group of professionals to design, implement, and optimize data platforms that handle multi-terabyte data sets, ensuring seamless data flow, integrity, and accessibility. Your expertise will directly impact Fidelity's ability to deliver top-tier investment management services, empowering investment professionals and clients to make informed market decisions. This position offers a unique opportunity to work on cutting-edge data solutions within a dynamic and innovative environment, contributing to the future of financial technology at Fidelity.

Qualifications

  • Demonstrated expertise in designing and developing high-quality data engineering solutions
  • Strong background in software development within the Financial Industry
  • Proficiency in Oracle PL/SQL development, SQL scripting, and database performance tuning
  • Experience with ETL tools such as Informatica and data warehousing platforms like Snowflake
  • Knowledge of data modeling techniques, including transactional, data mart, and data warehouse structures
  • Basic proficiency in Java, Python, REST API, and AWS is advantageous
  • Experience with DevOps practices including Maven, Jenkins, Git, and Docker
  • Familiarity with Agile methodologies such as Kanban and SCRUM
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication abilities
  • Ability to independently troubleshoot technical challenges and develop innovative solutions
  • Willingness to participate in after-hours, on-call support for production systems

Responsibilities

  • Design, develop, and maintain scalable data pipelines and architectures for investment data platforms
  • Optimize database performance and ensure data integrity across various systems
  • Collaborate with cross-functional teams to gather requirements and implement data solutions that meet business needs
  • Utilize ETL tools and data warehousing platforms to streamline data processing workflows
  • Implement best practices in DevOps for continuous integration, delivery, and deployment of data solutions
  • Monitor system performance and troubleshoot issues to ensure high availability and reliability
  • Participate in code reviews, documentation, and knowledge sharing within the team
  • Contribute to the development of innovative data models and analytical tools for investment decision-making
  • Support production environments through on-call rotations, incident response, and troubleshooting

Benefits

  • Comprehensive health and wellness plans
  • Retirement savings plans with company matching
  • Generous paid time off and holiday leave
  • Opportunities for professional development and continuous learning
  • Collaborative and inclusive work environment
  • Flexible working arrangements in line with company policies
  • Access to cutting-edge technology and resources

Equal Opportunity

Fidelity Investments is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected status in accordance with applicable laws and regulations. We encourage individuals from all backgrounds to apply and join our team.

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Data Engineer, Sr.

Sundayy

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