Data Engineer

Job Title : Data Engineer

Location : Seattle WA (Remote)

Duration : + Months

Responsibilities :

• Develop, optimize, and maintain data pipelines using Azure Data Factory (ADF), DBT Labs, Snowflake, and Databricks.
• Develop reusable jobs and configuration-based integration framework to optimize development and scalability.
• Manage data ingestion for structured and unstructured data ( landing / lake house : ADLS, Sources : ADLS, Client, SharePoint Documents Libraries, Partner Data : DHS, IHME, WASDE etc. ).
• Implement and optimize ELT processes, source-to-target mapping, and transformation logic in DBT Labs, Azure Data Factory, Databricks Notebook, Snow SQL etc.
• Collaborate with data scientists, analysts, data engineers, report developers and infrastructure engineers for end-to-end support.
• Co-develop CI / CD best practices, automation, and pipelines with Infrastructure engineers for code deployments using GitHub Actions.
• Bring in automation from source-to-target mappings to data pipelines and data lineage in Collibra.

Required Experience :

Hands-on experience building pipelines with ADF, Snowflake, Databricks, and DBT Labs.

Expertise in Azure Cloud with Databricks, Snowflake, and ADLS Gen integration.

Data Warehousing and Lakehouse Knowledge : Proficient with ELT processes, Delta Tables, and External Tables for structured / unstructured data.

Experience with Databricks Unity Catalog and data sharing technologies.

Strong skills in CI / CD (Azure DevOps, GitHub Actions) and version control (GitHub).

Strong cross-functional collaboration and technical support experience for data scientists, report developers and analysts. .

Primary skills :

DBT Labs

Snowflake

Secondary skills :

Databricks

Databricks Unity Catalog