Senior Data Engineer

Hydrogen Group; Juno Beach (FL); On-site; USD 123,295,000 - 137,484,000; Full time

Job summary

Hydrogen Group is seeking a Senior Data Engineer (Analytics & Supply Chain) in Florida to design, develop, and maintain enterprise data solutions that support analytics, reporting, and business decision-making.

You will build ETL/ELT pipelines, analytical data models, and scalable data warehouses, translating business needs into data-driven insights and BI solutions for cross-functional teams including Supply Chain and IT.

Qualifications

• Experience with ANSI SQL and large datasets.
• Experience with PostgreSQL and/or Amazon Redshift.
• ETL/ELT development and data engineering background.
• Dimensional and multidimensional data modeling experience.
• Experience developing analytical models and enterprise data warehouse solutions.
• Translate business requirements into data analytics solutions.
• Experience delivering data-driven insights.

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.

Skills

ANSI SQL

ETL/ELT development

Dimensional data modeling

Multidimensional data modeling

Analytical data modeling

Data warehousing

SQL performance tuning

Tools

PostgreSQL

Amazon Redshift

Power BI

Cloud data platforms

SAP MM

SAP EWM

SAP SCM

GEP Smart

Job description

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.