Data Conversion Specialist at Engage fi

Orlando, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

140000.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data modeling, ETL development, Database architecture, SQL, Scripting, Data integration, Data transformation, System migration, Reverse engineering, Technical leadership, Problem solving, Data engineering, Software development, Analytical skills, Communication skills

Industry

Financial Services

Description

Description As an Engage Fi employee, you can expect: To work with an amazing and collaborative team To create and innovate in your role and see the impact you make on the business and client experience To be a part of an award-winning team – Inc. 500 (2018), Inc. 5000 (2019, 2021, 2022, 2024, 2025), Tampa Bay Business Journal Fast 50 (2021, 2023, 2024, 2025), Great Place to Work (2023, 2024) All employees to cultivate and encourage new ideas and thrive on a fun and productive work environment To join a highly engaged workforce that supports personal and professional growth, empowerment, and lives by servant leadership What we provide: Competitive pay, incentive programs, 401k matching Unlimited time off plus 11 paid holidays Medical, dental, and vision health plans with FSA or HSA options Opportunities to volunteer and give back to the communities we serve Paid remote work expenses Career development, trainings, continuous learning, and employee recognition Team engagement events and activities Culture of growth and continuous improvement A great place to work! About Us: Engage fi was founded on the principle of putting ourselves in our clients’ shoes to understand their needs, their business objectives, and their definition of success. What sets us apart from other options is our focus on the client, and a little bit more: more transparency, more innovation, more savings, more incentives, more fun, more collaboration. We take pride in our people, process, and tools guaranteeing that your experience with engage fi will surpass your expectations. Our emphasis on the education, efficiency, and effectiveness needed to drive the growth of our industry will align to the needs of the consumer and your internal team. Our collective experience working for and with vendors and financial institutions in the past gives us tremendous insight into the capabilities of the vendors that our clients work with. We aim to leverage our knowledge and tools to save time, improve efficiency, and provide the pricing leverage the financial institution needs. With over 450 years of industry experience, the team at Engage fi is a blend of consultants, educators, matchmakers, integrators, and advocates. We are laser-focused on guiding financial institutions through our proven process and enabling them to make informed, timely decisions on vendor relationships so they can change at the speed of the consumer. Engage fi has completed over 525 strategic projects for financial institutions and negotiated over $2.2 billion in savings and incentives for our clients. We have a unique approach, and our strategic projects are as unique as the clients we serve. Let’s Engage! www.engagefi.com Position Summary: 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. Essential Functions: Data Architecture & Engineering – 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. Technical Execution & Development – 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. System Discovery & Problem Solving – 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. Technical Leadership & Best Practices – 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. Other Duties & Responsibilities: 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. Requirements Required Skills & Competencies: 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. Required Education and Experience: 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. Preferred Experience: 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. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Position Type/Expected hours of Work: Full Time/ 40 hours per week Location: Remote 20% Travel required Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Activities, duties, or responsibilities may change at any time with or without notice. EEO Statement: Engage fi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Responsibilities

The Data Conversion Specialist is responsible for architecting and executing complex data integration, transformation, and migration efforts across client engagements. This role involves leading technical discovery, reverse engineering source systems, and developing scalable data solutions in ambiguous environments.