E-logic is seeking a highly skilled LRS Data Engineer to build, optimize, and maintain the scalable data pipelines and infrastructure for FDOT's operational LRS. This role is hands-on, focusing on data quality, transformation, and management within the geospatial context.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across various platforms to support the LRS and operational needs.
• Audit existing geospatial data, processing, storage, and networking to ensure efficiency, data quality, and integrity.
• Develop and maintain semantic data models optimized for reporting and analytics from the LRS data.
• Lead data cleanup initiatives with a focus on improving and maintaining data quality, integrity, and consistency across systems.
• Support the creation and delivery of an FDOT operational LRS by managing the underlying data assets and ensuring proper data integration.
• Utilize advanced GIS tools and techniques (e.g., dynamic segmentation) for data creation, analysis, and quality assurance within the LRS.

Qualifications

• Experience in data engineering, with strong experience in geospatial and LRS data.
• Expert-level proficiency in SQL for relational database design, performance tuning, and optimization.
• Proficiency in scripting languages like Python for data automation, transformation, and workflow orchestration.
• Strong understanding of geodatabase design principles, coordinate reference systems, and linear referencing methods.
• Experience with ETL tools (e.g., FME) and cloud-based data solutions (e.g., Databricks, Snowflake) is a plus.

Important Notice:

This role is part of a proposal for the Florida Department of Transportation. Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission.