Principal, Data Engineer
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Fidelity Investments scores A on the Alion truth index.
Fidelity will not provide immigration sponsorship for this position.
Job Description:
Position Description:
Performs application database administration services, including reviewing SQL code, analyzing and tuning query performance, designing database applications, developing physical data models, and supporting application development and engineering efforts. Coordinates replication projects for moving data between Mainframe DB2 Database and distributed platforms across on-prem and cloud environments. Maintains critical DB2 databases by performing reorganizations, image copying, and sizing. Participates in a 24x7 on-call rotation for production supporting, database maintaining, housekeeping, and installing.
Primary Responsibilities:
- Collaborates with enterprise teams for systems administration, cybersecurity, and capacity planning.
- Troubleshoots production issues and develops immediate solutions or workarounds.
- Builds database standards and best practices for operations, upgrading, migrating, and onboarding new applications and clients.
- Installs and configures database management systems and related tools.
- Plans and implements database security controls and access privileges.
- Monitors performance and conducts capacity planning.
- Designs logical and physical database models and data architectures.
- Develops, tests, and optimizes SQL queries, stored procedures, and triggers.
- Performs backup, recovery, and disaster recovery planning.
- Migrates and integrates data across platforms and environments.
- Documents database standards, procedures, and data dictionaries.
- Evaluates and applies patches and upgrades and ensuring data integrity, availability, and compliance.
- Defines and leads enterprise-level data architecture strategies.
- 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.
- Develops innovative solutions to support scalable, secure, and high-performance data environments.
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) performing modernization of DB2 environments supporting mission-critical trading platforms in the financial services industry, using cloud and hybrid replication architectures.
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) performing modernization of DB2 environments supporting mission-critical trading platforms in the financial services industry, using cloud and hybrid replication architectures.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise performing DB2 database administration across z/OS and Linux environments; applying DB2 operational standards using DB2 Common Business Oriented Language/Native Stored Procedure (DB2 COBOL/NSP), Broadcom CA Insight, IBM RC/Tools, Subsystem Analyzer, and native DB2 utilities to support large DB2 z/OS sysplex environments.
- Demonstrated Expertise engineering and implementing enterprise replication solutions to meet stringent high-availability and disaster recovery requirements using IBM InfoSphere Data Replication Q Replication (IDR Q Replication) on z/OS (Active-Active and Active-Passive architectures) and IIDR CDC for heterogeneous cloud and on premises targets, including Amazon Web Services (AWS).
- Demonstrated Expertise performing performance tuning and root-cause analysis for high-volume, low-latency transactional trading applications by optimizing SQL and DB2 subsystem behavior using IBM Omegamon, Broadcom CA Detector/Insight, System Management Facilities (SMF) data analysis, Explain access path evaluation, and IBM Query Management Facility (QMF).
- Demonstrated Expertise designing and implementing automation for repeatable DB2 operational tasks aligned with standard operating procedures, incorporating observability features for proactive monitoring, alerting, and troubleshooting by using Linux shell scripting, Restructured Extended Executor (REXX), SQL, and Python, to enhance system transparency, stability, and mean time to resolution (MTTR).
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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.
Certifications:
Category:
Information TechnologyPlease 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.