Senior Data Engineer - Databricks

Dataeconomy • Raleigh, NC

15h • Onsite

About The Position

DATAECONOMY is one of the fastest-growing Data & Analytics companies with a global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings. We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. We are strategic partners with AWS, Collibra, Cloudera, Neo4j, DataRobot, Global IDs, Tableau, MuleSoft and Talend.

Requirements

• Strong Python (PySpark) and SQL programming
• Databricks — Spark, Delta Lake, Workflows, Unity Catalog
• ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
• Delta Live Tables, Auto-Loader, Structured Streaming
• Data modeling — dimensional (star/snowflake), normalization/denormalization
• CI/CD, Git, job orchestration
• Cloud experience — AWS, Azure, or GCP
• 7–10+ years in data engineering

Nice To Haves

• Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG use cases
• Data governance, metadata management, Unity Catalog advanced features
• Airflow, dbt, or similar orchestration tools
• Data security, compliance, and access models
• Cost optimization and performance tuning in cloud environments
• Corporate/enterprise data warehousing background

Responsibilities

• Build scalable, production-grade ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows).
• Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
• Develop optimized transformations, data quality rules, and reusable framework components.
• Implement best practices for job orchestration, monitoring, alerting, and automation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed