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.
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