Senior Data Enablement Engineer

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
  • 5 years of experience with data analysis and test data ecosystems
  • Strong hands-on skills in SQL and Python
  • Knowledge of data modeling, relations, flows, governance, and metadata management
  • Familiarity with GitHub, SQL Workbench, Visual Studio, and Agile environments
  • Ability to mentor junior data engineers
  • Strong collaboration, problem-solving, and communication skills

Responsibilities

  • Lead communication between TDM team and QE teams
  • Ensure high data quality and consistency by maintaining test data scenarios
  • Collaborate with partner teams to understand data needs and increase data visibility
  • Manage test data creation and modification using current tools and scripts
  • Mentor junior data engineers and promote best practices
  • Partner with product owners to enhance the roadmap of test data tools
  • Proactively identify process gaps and lead initiatives for automation and efficiency

Benefits

  • Opportunity to work in a role with significant technical leadership and mentorship responsibilities
  • Engage in a collaborative environment focused on engineering excellence
  • Contribute to a centralized team that drives platform stability across business units
  • Involvement in enhancing internal tools that support quality engineering efforts
  • Gain experience working with diverse teams and stakeholders in Agile environments
Full Job Description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

The Workplace Investment (WI) Test Data Management CoE is looking for a Senior Data Enablement Engineer to lead the evolution of our internal tools and test data ecosystem. This role will focus on enabling QE teams to efficiently discover, understand and access data across non-prod environments. As a technical leader, you will provide mentorship to data engineers and partners with stakeholders to enhance the development and delivery of test data solutions. This position centers on data navigation, test data ecosystem, data discoverability, SQL-driven data scenarios, Python -driven analysis, and tech data support of QE teams.

The Expertise and Skills You Bring

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

  • 5 years of experience with data analysis, and test data ecosystems

  • Strong hands-on skills in SQL and Python 

  • Knowledge of data modeling, data relations, data flows, data governance, and metadata management

  • Familiarity with GitHub, SQL Workbench, Visual Studio and working in Agile development teams

  • Ability to mentor and guide junior data engineers

  • Experience working with QE teams as a plus

  • Strong collaboration, problem-solving, and communication skills

The Value You Deliver

  • You lead test data communication between TDM team and QE teams

  • You ensure high data quality and consistency by maintaining and validating test data scenarios

  • You collaborate with partner’s teams to understand complex data relations, data needs , increase data visibility, and provide test-ready data

  • You manage test data creation and modification using existing tools and scripts

  • You mentor junior data engineers and promote best practices in test data engineering

  • You partner with product owners and stakeholders to enhance the roadmap of test data tools and workflows

  • You proactively identify process gaps and lead initiatives to improve automation and efficiency across test data platforms, to ensure data and environment stability

The Team

The WI QE Center of Excellence (CoE) drives engineering excellence and platform stability across WI squads. As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in delivering clean, scalable, and reliable test data across BU. You’ll work closely with engineering leads, QE teams, and TDS contributors to enable faster, safer, and smarter testing through data.

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 Technology

Similar Jobs

More Jobs at

More Information Technology Jobs

Find similar Senior Data Enablement Engineer jobs: