Senior FME Data Integration Engineer

Kforce has a client that is seeking a Senior FME Data Integration Engineer in Juno Beach, FL.

Summary:

We are seeking an experienced Senior FME Data Integration Engineer to support enterprise data integration, transformation, and schema standardization across multiple business units. This role will be responsible for designing and implementing scalable data workflows using FME Form/FME Workbench and FME Flow, integrating data across multiple systems, and improving data quality, consistency, and automation.

Key Responsibilities:

• Design, build, and maintain data integration and ETL workflows using FME Form/FME Workbench and FME Flow
• Develop automated workflows for data transformation, validation, migration, and integration
• Map and integrate data across multiple systems, databases, formats, and schemas
• Support the standardization of enterprise data structures and schemas across business units
• Design and maintain data models, relationships, and mapping specifications
• Identify and resolve data quality, consistency, and transformation issues
• Work with relational databases to extract, transform, and load data efficiently
• Develop reusable and scalable automation processes to reduce manual data handling
• Partner with business and technical teams to understand data requirements and translate them into effective integration solutions
• Document workflows, data mappings, schemas, and integration processes
• 6-10 years of experience in data integration, data engineering, ETL, database management, or a related data-focused role
• Strong hands-on experience with FME Form/FME Workbench
• Strong experience with FME Flow
• Experience integrating data across different enterprise systems, databases, and data structures
• Strong experience working with relational databases and SQL
• Deep understanding of ETL, data transformation, data integration, and workflow automation
• Strong knowledge of data modeling, schema design, schema mapping, and data relationships
• Strong attention to data quality, accuracy, consistency, and standardization
• Excellent analytical, troubleshooting, and problem-solving skills
• Strong communication skills with the ability to explain complex data concepts to both technical and business stakeholders

Preferred Qualifications:

• Experience with Esri/ArcGIS or other GIS platforms
• Experience working with spatial or geospatial data
• Experience supporting large-scale enterprise data environments
• Experience developing automated, reusable data integration frameworks

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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