Über
Atlanta, GA (4 days on-site)
Contract (Onsite-Hybrid)
Must haves:
5+ years of experience in a data engineering or software engineering role
Experience working in enterprise environments with a mix of on-prem and cloud technologies
Strong SQL skills with proven data modeling experience
Hands-on experience with:
SQL Server
SSIS (or similar ETL tooling)
Power BI for analytics and reporting
Experience with Spark-based platforms, with Databricks as a desired or future-state technology
Job Description and Details:
We are seeking a Modern Data Engineer to support enterprise-scale data platforms in a hybrid on-premises and cloud environment. This role will focus on building and optimizing reliable data pipelines, supporting analytics and reporting, and helping evolve the organization toward a Databricks Lakehouse future state. The ideal candidate is comfortable operating in a regulated, production-critical environment and is eager to leverage modern engineering practices, including AI-assisted development.
Key Responsibilities
Data Engineering & Platform Development
Design, build, operate, and optimize batch and streaming data pipelines
Develop and maintain robust ETL pipelines using SSIS (or equivalent tools)
Transform raw data into curated, reusable datasets that are easy to analyze
Work across relational databases, data lakes, and NoSQL systems
Support enterprise analytics and reporting solutions, including Power BI
Contribute to the evolution toward a Databricks Lakehouse architecture
Database & Modeling
Develop complex queries and transformations using SQL
Design and maintain data models, including star schemas and dimensional models
Work hands-on with SQL Server in production environments
Orchestration, CI/CD & Modern Engineering
Work with data orchestration tools such as Airflow or equivalents
Implement and maintain CI/CD pipelines and Git-based workflows for data solutions
Ensure reliability, quality, and maintainability of data pipelines in production
AI-Assisted & Automation Practices
Use AI tools or copilots to assist with:
SQL development
Pipeline generation
Testing and validation
Documentation
Familiarity with automation or AI agents to streamline data engineering workflows is a plus
Required Qualifications
5+ years of experience in a data engineering or software engineering role
Experience working in enterprise environments with a mix of on-prem and cloud technologies
Strong SQL skills with proven data modeling experience
Hands-on experience with:
SQL Server
SSIS (or similar ETL tooling)
Power BI for analytics and reporting
Experience with Spark-based platforms, with Databricks as a desired or future-state technology
Familiarity with orchestration tools, CI/CD, and Git-based development workflows
Soft Skills & Domain Experience
Strong communication skills, both technical and non-technical
Comfortable collaborating directly with engineers, analysts, and managers
Ability to work effectively in the electric utility / operations domain
Proven ability to operate in a regulated, production-critical enterprise environment
Sprachkenntnisse
- English
Hinweis für Nutzer
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