Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Designs and develops Extract, Transform, Load (ETL) reporting and analytics solutions using ETL tools (Informatica and Snaplogic). Develops innovative solutions to support scalable, secure, and high-performance data environments. Maintains enterprise data warehouse using RMDS (Snowflake and PostgreSQL), Cloud platforms and services (AWS -- IAM, EC2, S3, Lambda, and RDS), and data manipulation languages and frameworks (Java, Python, and Jason). Develops sophisticated Continuous Integration/Continuous Delivery (CI/CD) pipeline using Maven, Jenkins, Stash, Ansible, and Docker. Writes SQL and stored procedures on relational databases. Performs debugging, analyzing and production support application development based on Jira stories in an Agile environment.
Primary Responsibilities:
- Designs and develops complex data integration solutions.
- Implements innovative solutions for financial advisors using the latest technology in a collaborative and engaging environment.
- Independently designs, develops, and implements data integration solutions using best practices across both cloud-based and traditional infrastructure technologies.
- Delivers data centric data integration solutions with transformation logic to be consumed by customers.
- Performs software configuration management, test automation, version control, and static code analysis.
- Integrates data with end-to-end development activities.
- Creates, updates, and maintains technical documentation for software-based projects and products.
- Solves production issues.
- Interacts with business partners to understand business requirements and assist in generation of technical requirements.
- Participates in architecture, technical design, and product implementation discussions.
- Develops and implements advanced data engineering frameworks.
- Advises senior leadership on data infrastructure and technology solutions.
- Mentors junior engineers.
- Performs independent and complex technical and functional analysis for multiple divisional initiatives.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, building and supporting scalable data pipelines for large scale ETL, real-time, batch systems and reporting platforms in a financial services environment.
Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing, building and supporting scalable data pipelines for large scale ETL, real-time, batch systems and reporting platforms in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
· Demonstrated Expertise designing and developing data pipelines for data warehouses (ETL), using Python within Agile frameworks (Scrum), in a financial services domain; integrating the data pipelines with PL/SQL; creating batch jobs using schedulers; and identifying bottlenecks in ETL packages.
· Demonstrated Expertise building and maintaining ETL pipelines using Python; developing SQL scripts or stored procedures to process large datasets in relational environments; and improving data workflows and data availability for business operations using PL/SQL with databases (Oracle, Postgres or Snowflake).
· Demonstrated Expertise applying DevOps principles throughout the software development life cycle (SDLC); and building and promoting CI/CD pipelines using Jenkins, and Bitbucket or GitHub to automate deployments.
· Demonstrated Expertise improving system reliability and supporting continuous delivery of data engineering solutions, using Cloud platforms -- AWS or GCP; delivering real time reports with actionable insights to stakeholders.
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Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field, or equivalent foreign education, plus five years of relevant experience.
- Alternatively, a master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field, or equivalent foreign education, plus three years of relevant experience.
- Five years of experience, or three years with a master's degree, designing, building, and supporting scalable data pipelines for large-scale ETL, real-time, batch systems, and reporting platforms in financial services.
- Experience designing and developing data warehouse ETL pipelines using Python within Agile or Scrum frameworks in a financial services environment.
- Experience integrating data pipelines with PL/SQL, creating scheduled batch jobs, and identifying ETL bottlenecks.
- Experience building and maintaining Python ETL pipelines and developing SQL scripts or stored procedures for large relational datasets.
- Experience with PL/SQL and Oracle, PostgreSQL, or Snowflake databases.
- Experience applying DevOps principles and building CI/CD pipelines using Jenkins and Bitbucket or GitHub.
- Experience with AWS or GCP cloud platforms and delivering real-time reports with actionable stakeholder insights.
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
