Lead / Senior Data Engineer — Azure Databricks

Job overview

The Lead / Senior Data Engineer role is hybrid, with two days per week in the office, in Bellevue, WA. Compensation is not specified. The posting describes a 12-month contract and work with Azure data engineering technologies. The engineer builds and maintains data pipelines and ingestion workflows, while improving performance, monitoring, deployment, and environment management. This work supports reliable batch and streaming data processing across the listed Azure data sources and services.

What you'll do

• Design, build, and maintain PySpark and SQL pipelines in Azure Databricks for batch and streaming data. Develop ingestion from ADLS Gen2, Azure Synapse/SQL, Event Hub, Kafka, and REST/JSON sources
• optimize Spark jobs
• implement monitoring and alerting
• use Databricks Repos, notebooks, and unit tests
• build CI/CD pipelines
• and manage environments, secrets, and configuration promotion.

What we're looking for

Skills & competencies

lead data engineer

senior data engineer

azure databricks

azure data factory

pyspark

sql

delta lake

data pipelines

bellevue wa

hybrid

two office days weekly

12-month contract

Work arrangement

• Weekend coverage required

Why this role

Hybrid schedule with two office days per week; Azure Data Factory and Azure Databricks are listed as must-have skills.

About the employer

Diverse Lynx is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.