Data Engineer – Python, Databricks Contractor

Huckberry

contract

Posted on: 10/16/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Mid-LevelSenior

BigQueryCloudETLPython

About the role

Design, develop, and deploy robust enhancements to the existing Python-based batch ETL scripts.
Utilize Databricks to build, orchestrate, and schedule the data integration workflows.
Work extensively with the APIs of BigQuery and Airtable to ensure seamless and efficient data transfer.
Implement comprehensive error handling, logging, and monitoring to ensure pipeline reliability.
Collaborate with our data team to understand business requirements and translate them into technical solutions.
Provide clear documentation for the updated pipeline and workflows.

Proven experience as a Data Engineer, ETL Developer, or in a similar role.
Strong proficiency in Python, specifically for data manipulation and batch processing.
Hands-on experience developing and managing data pipelines using Databricks.
Demonstrated expertise in working with RESTful APIs for system integration.
Solid experience with cloud data warehouses, particularly Google BigQuery.
A big plus: A baseline understanding of Airtable or the ability to showcase a past project with a similar integration architecture (e.g., connecting a data warehouse to a business application via APIs).
Excellent problem-solving skills and the ability to work independently.

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonETLDatabricksRESTful APIsGoogle BigQuerydata manipulationbatch processingdata pipelineserror handlinglogging

problem-solvingindependencecollaborationdocumentation