Senior Data Engineer - Databricks
Job in
Raleigh, Wake County, North Carolina, 27601, USA
Listed on 2026-09-17
Listing for:
DATAECONOMY Inc
Full Time
position Listed on 2026-09-17
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Raleigh, United States | Posted on 09/10/2026
DATAECONOMY is one of the fastest-growing Data & Analytics company with 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, Dev Ops and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, Data Robot, Global IDs, tableau, Mule Soft and Talend.
Rutherford, NJ/ Jersey City, NJ
Full-time
- 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.
- Strong SQL programming and performance tuning skills.
- Experience with cloud environments (AWS/Azure/GCP).
- Experience with modern data lakehouse concepts and distributed systems.
- Strong understanding of Lakeflow Connect, LSDP/Lakehouse, Medallion Architecture, Data Validations, Genie, and Agent Bricks/RAG use cases.
- Should be able to explain these concepts using real project examples and architecture decisions.
- Knowledge of medallion architecture, DLT and unity catalog within Databricks.
- Strong Python (PySpark) and SQL programming
- Databricks — Spark, Delta Lake, Workflows, Unity Catalog
- CI/CD, Git, job orchestration
- Cloud experience — AWS, Azure, or GCP
- 7–10+ years in data engineering
- Knowledge of medallion architecture, DLT and unity catalog within Databricks.
- 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
Position Requirements
10+ Years
work experience
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