Data Conversion Specialist
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Job Description
Data Conversion Specialist responsible for data integration and transformation efforts across various engagements. Collaborating with cross-functional teams to deliver scalable data solutions and ensure accurate data migration.
Responsibilities:
- 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:
- 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
- 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.
Benefits:
- 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!
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