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Axelon

Data Engineer

Axelon, Seattle, Washington, us, 98127


Job Title: Data Engineer Location: Seattle, WA (Hybrid) Pay rate: 65/hr

Job Description:

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, Salesforce, Sharepoint Documents Libraries, Partner Data: Client, 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. Skills were are looking for:

ADF Snowflake Data Warehousing