Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Fidelity Investments

Data Engineer, Snowflake, MySQL, Python

Fidelity Investments

. Communicate with Business and Technical Consultants across Workplace Consulting practice areas on a wide variety of projects .

Posted 11/4/2026full-timeUnited StatesJuniorMid-Level💰 $83,000 - $158,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and solution development, with strong skills in SQL, Python, and ETL tools. Proven ability to collaborate across teams and streamline processes while maintaining a commitment to quality and problem resolution.

Highest-signal resume keywords
Data AnalysisSQL DevelopmentETL MethodsProcess StreamliningCollaboration Skills

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisSQLPythonStored ProceduresMySQLSnowflakeETLInformaticaSnapLogicSystems Analysis
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsOwnership Mindset
Tools & Technologies
AWSAzureInformaticaSnapLogicFidelity Backend Product Tables
Industry Keywords
Defined BenefitDefined ContributionHealth and WelfareStock Plan ServicesData Process Flows

Tech Stack

Tools & technologies
AWSAzureCloudETLInformaticaMySQLPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Communicate with Business and Technical Consultants across Workplace Consulting practice areas on a wide variety of projects
  • Analyze and maintain processes
  • Identify data issues
  • Perform root cause analysis
  • Streamline existing processes
  • Design and build customized data solutions addressing unique scenarios across multiple product lines
  • Work with teams supporting Defined Benefit, Defined Contribution, Stock Plan Services, Health and Welfare, and HR/Payroll solutions

Requirements

What you’ll need
  • Bachelor’s in Computer Science, Software engineering or related field
  • 2 plus years in Technology with 1 years in developing and deploying data solutions
  • Strong understanding of data analysis concepts and associated tools such as SQL, Python, Stored Procedures, etc.
  • Experience with SQL required
  • Knowledge of MySQL and Snowflake (workspaces) preferred
  • Systems analysis background with an emphasis on legacy process decomposition and debugging/tuning/refactoring
  • Strong analytical and problem-solving skills
  • Ability to research and find answers to technical challenges and learn new technologies as required
  • Good written and verbal communication skills
  • Excellent collaboration skills to work with multiple teams in the organization
  • Ability to deal with ambiguity and work in a fast-paced environment
  • Ownership mindset and commitment to resolving issues and quality of work
  • Experience with WI Defined Benefit, Defined Contribution, Health and Welfare and/or Stock Plan Service business, data process flows and recordkeeping processes is a plus
  • Experience with ETL methods and tools, including Informatica and Snap Logic, is a plus
  • Knowledge of Fidelity backend product tables (WIDE, Snowflake, DBR1, etc.) is a plus
  • Hands-on experience with AWS or Azure cloud concepts is a plus
  • Project management experience is a plus
  • Strong preference for experience working with relational databases and SQL
  • Strong preference for familiarity with Informatica or SnapLogic and ETL concepts
  • Must be able to work in the United States without immigration sponsorship

Benefits

Comp & perks
  • Comprehensive health care coverage
  • Emotional well-being support
  • Market-leading retirement
  • Generous paid time off
  • Parental leave
  • Charitable giving employee match program
  • Educational assistance including student loan repayment
  • Tuition reimbursement
  • Learning resources to develop your career
  • Bonus or other variable compensation may be included depending on position and eligibility