BDG

BDG

Data Engineer

New York, NY

Sponsorship not specified$105k-$145kDetected 525 days ago
PythonReactSQLBigQuerySnowflakeRedshiftAWSGCPAzureCloud PlatformsMachine LearningSparkAirflowData EngineeringCollaboration

About the role

  • Bustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team.
  • This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.
  • BDG is a leading independent media company with a portfolio of influential brands, including Bustle, Nylon, W, and Inverse.

Responsibilities

  • 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.
  • Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights.
  • Implement monitoring, validation, and governance processes to maintain the integrity and security of our data.
  • Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.

Requirements

  • 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.
  • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
  • 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets.
  • Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation.
  • Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

Compensation

  • Market-based salary with annual reviews.
  • BDG is a leading independent media company with a portfolio of influential brands, including Bustle, Nylon, W, and Inverse.
  • Our content reaches over 115 million readers monthly.
  • Data is at the core of our business, driving audience insights, content monetization, and strategic decision-making.
  • Join BDG and help shape the future of data-driven media!
  • Apply now to become part of our innovative and fast-growing team.

Benefits

  • Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives.
  • Unlimited PTO: Take the time you need to recharge and stay productive.
  • Retirement Savings: 401(k) plan.
  • Flexible Work Options: Work remotely or connect with the team in our NYC office.

Company info

  • Work remotely or connect with the team in our NYC office.
  • Our content reaches over 115 million readers monthly.
  • Data is at the core of our business, driving audience insights, content monetization, and strategic decision-making.
  • Join BDG and help shape the future of data-driven media!
  • Apply now to become part of our innovative and fast-growing team.

This listing is sourced directly from BDG's careers page and normalized into a canonical job model.