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Staff Software Engineer, Performance and Analytics
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Senior Engineer, Technology I
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Software Test Engineer
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Sr. Model Engineer, Post-Training & RL
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Sr. Model Engineer, Model Training
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Fidelity Technology Group, LLC

Senior Full Stack Engineer

United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

Senior Full Stack Engineer We are seeking a highly skilled and analytical Senior Full Stack Engineer to support the understanding, documentation, and optimization of end-to-end application and data flows across complex enterprise systems. This role serves as a critical liaison between business stakeholders, engineering teams, application owners, and data consumers by analyzing how data moves from databases through backend services, middleware components, APIs, and into consuming front-end applications. This individual will work closely with development teams, stakeholders, technology leads, and agile teams to ensure successful delivery of program milestones and adherence of the deliverables to the product roadmaps. Your problem solving and technical skills along with ability to synthesize findings, developing practical and realistic recommendations, and communicate results will help you excel at this position. The ideal candidate possesses strong technical analysis skills, extensive SQL expertise, and the ability to quickly understand system architectures, data models, integrations, and dependencies. This individual will play a key role in documenting application ecosystems, supporting modernization initiatives, troubleshooting production issues, and providing insights into data lineage and system behavior.

Key Responsibilities:

System and Data Flow Analysis:

Analyze and document end-to-end data flows across databases, backend services, middleware platforms, APIs, and user-facing applications.
Develop and maintain current-state and future-state system architecture diagrams, process flows, and data lineage documentation.
Identify system dependencies, integration points, data transformations, and downstream impacts of changes.
Partner with development teams to understand application architectures and integration designs.
Document business and technical requirements related to system interfaces and data exchanges.

Data Analysis and SQL Development:

Write complex SQL queries to extract, validate, analyze, and troubleshoot data across multiple databases.
Perform data mining and root cause analysis to investigate production incidents, data discrepancies, and system issues.
Analyze data quality, completeness, and accuracy across integrated systems.
Validate data movement between source systems and consuming applications.
Support reconciliation efforts by comparing and tracing data across multiple platforms.

Application and Integration Support:

Collaborate with software engineers, solution architects, product teams, and business stakeholders to understand system functionality and technical requirements.
Analyze REST APIs, service interactions, message flows, and integration patterns.
Assist in impact assessments for enhancements, upgrades, and application modernization initiatives.
Support testing efforts by defining test scenarios and validating expected data outcomes.
Participate in troubleshooting efforts related to application integrations and data issues.

Documentation and Process Improvement:

Create and maintain comprehensive technical documentation, including:
Data flow diagrams
Interface specifications
System dependency maps
Data dictionaries
Process workflows
Application inventories
Establish standards for documenting system interactions and data lineage.
Identify opportunities to improve data transparency, operational efficiency, and system observability.

Required Qualifications:

5 plus years of experience as a Systems Analyst, Technical Analyst, Business Systems Analyst, or related role.
Strong expertise in SQL with demonstrated ability to write complex queries, joins, aggregations, subqueries, Common Table Expressions (CTEs), and performance analysis.
Experience analyzing relational database structures and data models.
Proven ability to document complex system architectures and data flows.
Experience working with multi-tier application environments, including:
Databases
Backend services
Middleware/integration layers
APIs
Front-end applications
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.

Preferred Qualifications:

Experience with API analysis and testing tools such as Postman, Bruno or Swagger/OpenAPI.
Knowledge of microservices and service-oriented architectures.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Familiarity with data lineage, metadata management, and enterprise architecture concepts.
Experience with diagramming and documentation tools such as Visio, Draw.io, or Enterprise Architect.
Exposure to ETL processes and data integration technologies.
Experience supporting Agile development teams.
Understanding of application logging, monitoring, and observability tools.

Technical Skills

Required:

SQL Server, Oracle, PostgreSQL, MySQL, or similar relational databases
Advanced SQL querying and data analysis
System integration analysis
Data mapping and data lineage
REST APIs and web services
Technical documentation and process modeling

Preferred:

Azure Data Services
API gateways and middleware platforms
Splunk, Dynatrace, AppDynamics, or similar monitoring tools
Power BI or other reporting and analytics platforms
Git, Azure DevOps, Jira, or related tools

Success Factors:

The successful candidate will:

Quickly understand complex technical ecosystems and application dependencies.
Trace data from source databases through backend and middleware layers to end-user applications.
Build trusted relationships with engineering, product, and business teams.
Translate technical concepts into clear documentation and actionable insights.
Leverage advanced SQL skills to investigate issues, validate system behavior, and support data-driven decision making.

This role is ideal for a technically curious analyst who enjoys uncovering how systems work, mapping complex data journeys, and using data analysis to solve business and technology challenges.

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.

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More about this job

Skills

Documentation
Problem solving
SQL
Data models
Troubleshooting
Data analysis
Troubleshoot
Perform data mining
Root cause analysis
API development
Process improvement
Communication skills
Postman
Microservices
Microsoft Azure
AWS
Google Cloud
Microsoft Visio
Data engineering
Agile development
Microsoft SQL Server
Oracle
PostgreSQL
MySQL
ICT system integration
Splunk
Dynatrace
Microsoft Power BI
Reporting
Git
DevOps
Jira
SuccessFactors
Analyse issues
Decision making
Securities

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