Data Conversion Specialist

Engage fi•Orlando, FL

2h•Remote

About The Position

The Data Conversion Specialist is a highly specialized technical role responsible for architecting and executing complex data integration, transformation, and conversion efforts across client engagements. This role operates in highly ambiguous and undefined environments, often working with new or undocumented systems. The Data Conversion Specialist serves as a technical leader and problem solver, designing scalable data solutions, reverse engineering source systems, and ensuring accurate and efficient data migration into target platforms. As a key contributor to delivery success, this role applies advanced data engineering expertise, establishes best practices, and supports the successful execution of complex system transitions.

Requirements

Advanced proficiency in data modeling, ETL development, and database architecture.
Strong coding skills including SQL and relevant scripting or ETL tools.
Ability to work effectively in ambiguous environments with limited documentation or predefined structure.
Strong analytical and problem-solving capabilities with attention to detail.
Ability to independently design and execute complex technical solutions.
Strong communication skills to articulate technical concepts to both technical and non-technical stakeholders.
Bachelor’s degree in Information Systems, Computer Science, Data Engineering, or related field, or equivalent experience.
5+ years of experience in data engineering, system integration, or software development.
Experience designing and implementing data transformation and integration solutions.
Demonstrated experience working with complex or undocumented data systems.

Nice To Haves

Experience with data conversion or core system migration projects.
Familiarity with financial services systems, including banking or credit union platforms.
Experience with enterprise ETL tools and data integration frameworks.
Exposure to platforms such as Data Librarian, VantEdge Point, DataFusion, or similar technologies.

Responsibilities

Designs and implements scalable data integration pipelines and data load processes to support system conversions and migrations.
Develops and maps source-to-target data models, ensuring alignment with target system specifications and business requirements.
Establishes and enforces best practices for data architecture, transformation logic, and integration design.
Installs, configures, and supports platforms including Data Librarian (DL), VantEdge Point (VP), and DataFusion.
Writes, tests, and optimizes custom code to perform complex data transformations and ensure data accuracy and performance.
Develops ETL processes and automation to improve efficiency, repeatability, and reliability of data conversion efforts.
Leads technical discovery efforts for new, undocumented, or unfamiliar systems by reverse engineering data structures, relationships, and dependencies.
Analyzes complex data environments to identify risks, gaps, and transformation requirements.
Independently architects solutions in ambiguous scenarios with minimal predefined structure.
Provides technical leadership across engagements by guiding data strategy, integration approaches, and solution design.
Contributes to the development of internal standards, tools, and methodologies to improve scalability and delivery quality.
Collaborates with cross-functional teams to ensure alignment between technical execution and project objectives.
Supports continuous improvement efforts by contributing to internal knowledge sharing, documentation, and development of repeatable frameworks.
Assists in mentoring team members and providing guidance on complex technical challenges as needed.