Senior Data Engineer - Data Conversion & Implementation Lead

Fidelity Investments Inc.; Durham (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

Fidelity Investments Inc. in Durham, NC is seeking a Senior Data Engineer to lead data conversion and implementation for Defined Benefits client projects. You will partner with clients, prior recordkeepers, and internal teams to ensure data accuracy and successful conversions across multiple concurrent initiatives.

The role requires strong SQL skills and experience with ETL tools, with a focus on pension data and Fidelity's data-loading methodologies in a fast-paced, matrixed environment.

Qualifications

• 5-7+ years of experience in data analysis, data conversion, implementation, or related roles.
• Strong SQL skills and experience working with relational databases.
• Experience with ETL tools such as Informatica is a plus.
• Experience supporting data migration, conversion, or implementation projects.
• Strong analytical and problem-solving skills.
• Knowledge of Defined Benefit pension plans.
• Demonstrated leadership, collaboration, and organizational skills.
• Excellent verbal and written communication skills.
• Ability to manage multiple priorities in a fast-paced, matrixed environment.

Responsibilities

• Leading client data conversion and implementation activities.
• Analyzing source data and identifying data quality issues and solutions.
• Coordinating with stakeholders to resolve data and implementation challenges.
• Supporting corporate actions and ongoing client projects.
• Applying Fidelity systems, processes, and data-loading methodologies to ensure successful outcomes.

Skills

Data analysis

Data conversion

Implementation experience

SQL

Analytical thinking

Leadership

Communication skills

Defined Benefit knowledge

Tools

Informatica

Job description

Fidelity Investments Inc. in Durham, NC is seeking a Senior Data Engineer to lead data conversion and implementation for Defined Benefits client projects. You will partner with clients, prior recordkeepers, and internal teams to ensure data accuracy and successful conversions across multiple concurrent initiatives.

The role requires strong SQL skills and experience with ETL tools, with a focus on pension data and Fidelity's data-loading methodologies in a fast-paced, matrixed environment.