Senior Data Engineer, Databricks & Lakehouse

DATAECONOMY

Raleigh (NC)

On-site

USD 120,000 - 160,000

Full time

4 days ago

Be an early applicant

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

DATAECONOMY in Raleigh, United States, seeks a Senior Data Engineer to build scalable ETL/ELT pipelines using Databricks, PySpark, and modern lakehouse architectures. You will ingest data across Bronze/Silver/Gold layers, design transformations, and enforce data quality rules.

The role requires 7-10+ years in data engineering, strong Python/SQL skills, and cloud experience (AWS/Azure/GCP). You will collaborate on distributed systems and complex data projects within a fast-growing analytics

Qualifications

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.

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.
Strong SQL programming and performance tuning skills.
Experience with cloud environments (AWS/Azure/GCP).
Experience with modern data lakehouse concepts and distributed systems.
Explain concepts with real project examples and architecture decisions.