Senior Data Engineer — Data Conversion Lead

Fidelity; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Fidelity is seeking a Senior Data Engineer to lead data conversion and implementation for Defined Benefits client projects. You will ensure data quality, collaborate with clients and internal teams, and drive successful conversions across multiple simultaneous engagements.

Key duties include analyzing source data, resolving data quality issues, and applying Fidelity data-loading methodologies to deliver accurate outcomes in a fast-paced, matrixed environment.

Qualifications

• 5-7+ years experience in data analysis, data conversion, implementation, or related roles.
• Strong SQL skills and experience 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

SQL

Data conversion

ETL

Leadership

Client collaboration

Data migration

Analytical thinking

Tools

Informatica

Job description

Fidelity is seeking a Senior Data Engineer to lead data conversion and implementation for Defined Benefits client projects. You will ensure data quality, collaborate with clients and internal teams, and drive successful conversions across multiple simultaneous engagements.

Key duties include analyzing source data, resolving data quality issues, and applying Fidelity data-loading methodologies to deliver accurate outcomes in a fast-paced, matrixed environment.