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# Data Engineer

- **Company:** Bustle Digital Group
- **Location:** New York, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Query Performance, Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Distributed Computing Environment, Python (Programming Language), Machine Learning, Standard Sql, TypeScript, Data Processing, Data Storage Technologies, ReactJS, Snowflake, Apache Spark, Data Strategy, Data Analytics, Data Management, Data Pipelines, Amazon Redshift
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/data-engineer-bdg-6197471

## About the Role

* Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets.
 * Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation.
 * Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar).
 * Experience working data generating frontends in React and TypeScript.
 * Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency.
 * Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

## Description

Bustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact., * Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives.

 * Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility.
 * Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights.
 * Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data.
 * Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.


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