Pacer Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Atlanta, Georgia, on a hybrid contract for 1+ years at $60/hr. Key skills include Databricks, PySpark, Delta Lake, and Azure Data Factory. Requires 3-7 years of relevant experience and a related degree.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
August 8, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#Data Governance #Spark SQL #Power Automate #SQL (Structured Query Language) #PySpark #Azure Data Factory #DevOps #Computer Science #Data Lake #Metadata #Delta Lake #Kafka (Apache Kafka) #ADF (Azure Data Factory) #Spark (Apache Spark) #GitHub #Data Lineage #Data Engineering #Databases #AI (Artificial Intelligence) #Python #Compliance #Scala #Databricks #Azure DevOps #Data Pipeline #"ETL (Extract #Transform #Load)" #Azure #Data Quality
Role description
Job Title: Data Engineer
Location: Atlanta, Georgia, United States
Work Arrangement: Hybrid
Employment Type: Contract
Duration: 1+ years
Domain: Utilities / Power Delivery
Pay Rate: $60/hr (W2)
Application Deadline: 14th Aug 2026
POSITION OVERVIEW
We are seeking a Data Engineer to design, build, and support scalable enterprise data pipelines, lakehouse platforms, data products, and application integrations. The ideal candidate will have strong hands-on experience with Databricks, PySpark, Delta Lake, Azure Data Factory, and modern data engineering practices.
ROLES & RESPONSIBILITIES
• Design, build, and maintain enterprise ETL/ELT data pipelines.
• Develop scalable ingestion frameworks using ADF, Kafka, CDC, APIs, files, and databases.
• Build and maintain Databricks notebooks, workflows, and data pipelines.
• Develop solutions using PySpark, Spark SQL, Python, and SQL.
• Implement Bronze, Silver, and Gold Medallion Architecture using Delta Lake.
• Support Unity Catalog, data governance, metadata, lineage, and data quality.
• Optimize lakehouse performance, scalability, and cost.
• Develop integrations using Power Apps, Power Automate, Power Platform, and OutSystems.
• Implement CI/CD practices using GitHub and Azure DevOps.
EDUCATION & QUALIFICATIONS
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related technical field.
• 3–7 years of experience in Data Engineering, Analytics Engineering, or Software Development.
• Strong experience with Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog.
• Hands-on experience with Azure Data Factory, Kafka, CDC technologies, APIs, SQL, and Python.
• Experience with Data Lake/Lakehouse, Medallion Architecture, ETL/ELT, and data pipeline orchestration.
• Experience with Power Apps, Power Automate, Power Platform, or OutSystems preferred.
BENEFITS
Medical | Dental | Vision | 401(k)
EEOC COMPLIANCE
We are an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI-assisted tools to support candidate screening and recruitment processes. Final hiring decisions are made by human recruiters based on qualifications, experience, and client requirements.
Job Title: Data Engineer
Location: Atlanta, Georgia, United States
Work Arrangement: Hybrid
Employment Type: Contract
Duration: 1+ years
Domain: Utilities / Power Delivery
Pay Rate: $60/hr (W2)
Application Deadline: 14th Aug 2026
POSITION OVERVIEW
We are seeking a Data Engineer to design, build, and support scalable enterprise data pipelines, lakehouse platforms, data products, and application integrations. The ideal candidate will have strong hands-on experience with Databricks, PySpark, Delta Lake, Azure Data Factory, and modern data engineering practices.
ROLES & RESPONSIBILITIES
• Design, build, and maintain enterprise ETL/ELT data pipelines.
• Develop scalable ingestion frameworks using ADF, Kafka, CDC, APIs, files, and databases.
• Build and maintain Databricks notebooks, workflows, and data pipelines.
• Develop solutions using PySpark, Spark SQL, Python, and SQL.
• Implement Bronze, Silver, and Gold Medallion Architecture using Delta Lake.
• Support Unity Catalog, data governance, metadata, lineage, and data quality.
• Optimize lakehouse performance, scalability, and cost.
• Develop integrations using Power Apps, Power Automate, Power Platform, and OutSystems.
• Implement CI/CD practices using GitHub and Azure DevOps.
EDUCATION & QUALIFICATIONS
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related technical field.
• 3–7 years of experience in Data Engineering, Analytics Engineering, or Software Development.
• Strong experience with Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog.
• Hands-on experience with Azure Data Factory, Kafka, CDC technologies, APIs, SQL, and Python.
• Experience with Data Lake/Lakehouse, Medallion Architecture, ETL/ELT, and data pipeline orchestration.
• Experience with Power Apps, Power Automate, Power Platform, or OutSystems preferred.
BENEFITS
Medical | Dental | Vision | 401(k)
EEOC COMPLIANCE
We are an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI-assisted tools to support candidate screening and recruitment processes. Final hiring decisions are made by human recruiters based on qualifications, experience, and client requirements.
