Data Engineer

Vaco by Highspring; Savannah (GA); On-site; USD 110,000 - 123,000; Full time

Job summary

A leading staffing firm in Savannah, GA is seeking a Data Engineer to build and support data platforms for analytics. This role requires expertise in SQL Server and Databricks, alongside a strong understanding of data architecture. Responsibilities include designing data lakes and optimizing ETL processes. The ideal candidate will be skilled in SQL and Python, with knowledge of cloud environments preferred. Join a dynamic team focused on data-driven solutions.

Qualifications

• Experience administering SQL Server, including tuning and backups.
• Hands-on experience with Databricks and associated technologies.
• Understanding of data modeling and architecture concepts.

Responsibilities

• Build and maintain data pipelines using Databricks and Microsoft Fabric.
• Support SQL Server environments regarding performance and availability.
• Design data lakes and warehouse solutions.

Skills

SQL Server administration

Databricks

Microsoft Fabric

Data modeling

SQL

Python

Cloud technologies

Job description

This range is provided by Vaco by Highspring. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$110,000.00/yr - $123,000.00/yr

Director, Talent Solutions/Technology - Jacksonville

Full Time Onsite Savannah, Ga

Data Engineer

We're hiring a Data Engineer to help build and support modern data platforms that power analytics and reporting across the organization. This role is ideal for someone who enjoys working across database administration, cloud data engineering, and scalable data architecture.

Responsibilities

• Build and maintain data pipelines using Databricks and Microsoft Fabric
• Support and optimize SQL Server environments, including performance, security, and availability
• Design and maintain data lakes and data warehouse solutions
• Partner with stakeholders to translate data requirements into scalable solutions
• Ensure data quality, reliability, and governance across platforms
• Automate and optimize ETL/ELT processes
• Monitor and troubleshoot data workflows and systems

Qualifications

• Experience administering SQL Server (tuning, backups, security, HA/DR)
• Hands‑on Databricks experience (Spark, Delta Lake, notebooks)
• Working knowledge of Microsoft Fabric and related analytics components
• Strong understanding of data modeling and data architecture concepts
• Proficiency in SQL and Python and/or Scala
• Cloud experience (Azure preferred)
• Familiarity with CI/CD and modern data engineering practices

Preferred

• Microsoft or cloud data certifications
• Exposure to data governance or compliance frameworks