Senior Data Engineer Juno Beach, FL (100% on-site)

Duration:

initial 8-month contract (W2, not eligible for C2C)

Pay:

$43-48/hr We are seeking a Senior Data Engineer (Analytics & Supply Chain) to design, develop, and maintain enterprise data solutions that support analytics, reporting, and business decision-making. This role will focus on building and optimizing ETL/ELT pipelines, analytical data models, and scalable data warehouse solutions. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data solutions. Build and optimize analytical data models, dimensional models, and data warehouse structures. Develop complex SQL queries and solutions using enterprise-scale datasets. Transform business requirements into data-driven reporting, analytics, and decision-support solutions. Perform data analysis and develop solutions supporting supply chain, procurement, inventory, and operational functions. Ensure data quality, accuracy, consistency, and reliability across enterprise data environments. Collaborate with Supply Chain, Procurement, IT, and other cross-functional teams to define requirements and deliver analytics solutions. Optimize data pipelines, queries, and models for performance and scalability. Support business intelligence and reporting initiatives through effective data architecture and modeling. Required Qualifications Strong hands-on experience with

ANSI SQL.

Experience with PostgreSQL and/or Amazon Redshift. Strong background in ETL/ELT development and data engineering. Experience with dimensional and multidimensional data modeling. Experience developing analytical models and enterprise data warehouse solutions. Ability to translate business requirements into technical data and analytics solutions. Experience working with large datasets and delivering data-driven insights. Preferred Skills Experience supporting supply chain, procurement, inventory, or operational analytics. Functional knowledge of

SAP MM, SAP EWM, SAP

SCM, and/or GEP Smart. Experience with Power BI or other business intelligence tools. Familiarity with cloud data platforms and modern data architectures. Knowledge of enterprise data warehouse architecture and best practices. Experience collaborating with cross-functional business and IT stakeholders. ...