Atlanta, GA (Hybrid) Full time Senior Level
About This Role
Join our Data Engineering team to build and optimize enterprise-scale data platforms using Databricks. You'll work directly with Fortune 500 clients to design lakehouse architectures, implement Delta Lake solutions, and drive data-driven decision making across their organizations.
Responsibilities
- Design and implement scalable data pipelines using Databricks and Delta Lake
- Architect lakehouse solutions for enterprise clients
- Optimize Spark jobs for performance and cost efficiency
- Collaborate with data scientists to productionize ML models
- Mentor junior engineers and establish best practices
Requirements
- 5+ years of experience in data engineering
- Strong expertise with Databricks, Apache Spark, and Delta Lake
- Proficiency in Python and SQL
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong understanding of data modeling and ETL best practices
Nice to Have
- + Databricks certifications
- + Experience with Unity Catalog
- + Knowledge of dbt or similar transformation tools
- + Experience with real-time streaming (Kafka, Kinesis)