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# Data Engineer

- **Company:** Hispanic Technology Executive Council
- **Location:** Bentonville, AR, United States
- **Experience:** Experienced
- **Salary:** $63,200.0 - $188,600.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Google AdWords, Airflow, Amazon Web Services, Automation of Tests, Business Intelligence Development, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Google Analytics, Python (Programming Language), Shopify, Software Engineering, TypeScript, Management of Software Versions, ReactJS, Boto3, Backend, Pandas, React Redux, Data Pipelines, Api Management
- **Published:** September 5, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/74572962/1

## About the Role

* A minimum of 3 years experience with:
 + Cloud Platforms: Primary - AWS.
 + Python Development for data engineering: pandas, pyarrow, boto3
 + Packages / frameworks: Airflow, Pandas

 * A minimum of 3 experience in development / data engineering
 * A minimum of 3 years experience in knowledge context: Digital advertising, ecommerce, API integrations, BI development

Bonus Points If:

 * Exposure to marketing and ecommerce data (Google Ads, Google Analytics, Shopify etc.)
 * Exposure to app development: Shopify apps, React, Redux, MUI
 * Experience with Development: Javascript, TypeScript, GraphQ
 * Experience with Packages / frameworks: React, Redux, Express, Sequelize
 * Experience developing QA automation and processes to validate code

## Description

As a Data Engineer, you'll serve as a key stakeholder in maintaining our internal tools and systems that support our internal teams and clients. You will work in multiple environments, with a primary responsibility to manage internal data pipeline and data warehouse. This role requires experience using AWS and Python to extract data from various sources, transform it to fit within existing architecture and automate systems to ensure accuracy across our 20+ data sources.

The Work:

 * Own data pipeline to make sure that data pipeline is accurate and consistent everyday within the database
 * Enhance and continually improve ETL
 * Work with data analysts to troubleshoot and solve any data inaccuracies for internal and external reporting
 * Consistent maintenance of API integrations (pulls, versioning etc.) using Python and AWS
 * Assist director of analytics in ongoing data-related projects and AWS management.
 * Manage internal websites that are used for client and budget management (updates to front end and troubleshooting backend integrations).


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