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Huckberry

Huckberry

via Workable

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Data Engineer (Python/Databricks) Contractor

Anywhere
contractor
Posted 10/16/2025
Direct Apply
Key Skills:
Data Engineering
ETL Development
Python
Databricks
APIs
Google BigQuery
Error Handling
Logging
Monitoring
Documentation
Problem Solving
Independent Work

Compensation

Salary Range

$Not specified

Responsibilities

The primary responsibilities include designing, developing, and deploying enhancements to existing Python-based batch ETL scripts and utilizing Databricks for data integration workflows. The role also involves collaborating with the data team to understand business requirements and ensuring seamless data transfer between systems.

Requirements

Candidates should have proven experience as a Data Engineer or similar role, with strong proficiency in Python and hands-on experience with Databricks. Familiarity with Google BigQuery and RESTful APIs is essential, and a basic understanding of Airtable is a plus.

Full Description

We are seeking an experienced and self-motivated Data Engineer to join our data team on a contract basis. This is a fantastic opportunity for a skilled engineer to make a significant impact on our core business operations, with the potential for future projects based on performance. Project Objective 🎯 The primary goal is to enhance and optimize a critical data pipeline that connects our data warehouse in Google BigQuery with our operational hub in Airtable. This pipeline is essential for automating the creation of Purchase Orders in NetSuite and tracking their status, and your work will directly improve the efficiency and reliability of this process. Responsibilities 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. Flexible schedule Competitive pay Company Description Huckberry is the ultimate one-stop men's shop for discovering the best gear and threads. Over a million guys trust us as their go-to resource for their closet, adventure inspiration, and a whole lot more. We were named one of IAB's most disruptive consumer brands, and we've collaborated with everyone from Matthew McConaughey and Leon Bridges to brands like Lululemon, Tacoma, and Coors. We look forward to meeting you. Want to get to know us better? Check out our: Journal: Youtube: Instagram: Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.

This job posting was last updated on 10/17/2025

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