Immediate W2 contract position available in Atlanta, GA (Hybrid). Estimated Duration: 3 years
Job Summary: The Data Engineer is responsible for designing, building, and supporting scalable data platforms, data products, application integrations, and analytics solutions that enable business decision-making across Power Delivery. This role develops and maintains enterprise data pipelines, integrates operational systems with cloud-based lakehouse platforms, and supports both low-code and pro-code application development using Microsoft Power Platform, OutSystems, and Databricks.
The successful candidate partners with business stakeholders, data analysts, application developers, and technology teams to deliver trusted, governed, and reusable data assets.
Key Responsibilities:
Data Engineering & Integration
Design, build, and support enterprise data pipelines using ETL and ELT methodologies.
Develop scalable ingestion frameworks for structured, semi-structured, and streaming data.
Build and maintain Databricks notebooks, workflows, and data pipelines.
Ingest data from source systems using:
Azure Data Factory
Kafka
CDC technologies
APIs
Files and database sources
Implement data quality checks, monitoring, and exception handling.
Support Bronze, Silver, and Gold (Medallion) data architectures within the Databricks Lakehouse.
Databricks Development
Design and maintain Delta Lake tables and data products.
Develop solutions using:
Databricks
PySpark
Spark SQL
Python
SQL
Optimize lakehouse performance, scalability, and cost management.
Support data sharing, governance, and catalog management using Unity Catalog.
Application Development
Build and enhance business applications using:
Microsoft Power Apps
Power Automate
Microsoft Power Platform
OutSystems
Develop integrations between Databricks and business applications.
Partner with users to automate workflows and operational processes.
Data Governance & DevOps
Follow Company governance and security standards.
Implement CI/CD practices using GitHub and Azure DevOps.
Maintain documentation, data lineage, and metadata for enterprise data assets.
Participate in architecture reviews and solution design activities.
Required Qualifications
Education
Bachelor’s degree in one of the following:
Computer Science
Information Systems
Data Analytics
Engineering
Related technical discipline
Experience
3–7 years of experience in data engineering, analytics engineering, or software development.
Experience building enterprise data pipelines and integrations.
Experience working with cloud-based data platforms.
Required Technical Skills
Data Engineering
ETL / ELT design and development
Data ingestion frameworks
Data pipeline orchestration
Data warehousing concepts
Data Lake and Lakehouse architectures
Medallion architecture
Databricks
Databricks
Databricks Workflows
PySpark
Spark SQL
Delta Lake
Unity Catalog
Data Products
Cloud & Integration
Azure Data Factory
APIs
Kafka
CDC technologies
SQL Server
Development
Python
SQL
GitHub
Azure DevOps
Business Applications
Microsoft Power Apps
Power Automate
Microsoft Power Platform
OutSystems
Preferred Qualifications
Utility industry experience
Power Delivery domain knowledge
Experience supporting Transmission or Distribution Analytics
Real-time data streaming experience
Knowledge of AI/ML enablement on Databricks
Experience with Power BI integration and DirectQuery architectures
Additional information on the hybrid schedule:
The position is listed as hybrid because team members come into the office as needed for meetings with business partners. Currently, we do not have sufficient office space for all workers to be onsite Monday through Thursday from 8:00 AM to 5:00 PM.
If you already have a resume on file with The E Group and would like to be considered for this position, simply email your note of interest to The E Group at Allison@goegroup.com.
Why Choose The E Group? We are an award winning firm recognized for having an outstanding reputation with our clients and employees. All contractors are eligible for full group health and dental benefits, 401K with matching, and various insurances. Generous living expenses are given to help those who relocate or have duplicate housing.
For immediate consideration simply attach your resume to this posting or email your resume to Allison@goegroup.com. All applicants will receive feedback once position closes.