Senior Data Engineer

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.