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Data Engineer

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.


What You'll Do
  • 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.


Who You Are
  • 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.


BDG Benefits
  • Competitive Compensation: Market-based salary with annual reviews.
  • Unlimited PTO: Take the time you need to recharge and stay productive.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Retirement Savings: 401(k) plan.
  • Flexible Work Options: Work remotely or connect with the team in our NYC office.


$105,000 - $145,000 a year
Compensation: Salary will be commensurate with experience and qualifications, with a competitive benefits package offered.

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.

Average salary estimate

$125000 / YEARLY (est.)
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$105000K
$145000K

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What You Should Know About Data Engineer, BDG

Bustle Digital Group (BDG) is on the lookout for a talented Data Engineer to join our dynamic team in New York, NY! You’ll have an incredible opportunity to work directly with the Director of Data Engineering, contributing to the development and optimization of cutting-edge data infrastructure. This role is all about building scalable data pipelines and enhancing our analytics capabilities to support our advertising, affiliate sales, and editorial strategies. As a Data Engineer at BDG, you'll be diving into large-scale datasets and using innovative technologies to develop efficient ETL pipelines. You'll also collaborate cross-functionally with engineering and business teams, ensuring that our data solutions are robust and insightful. Maintaining data quality and reliability will be key, as you implement monitoring and governance processes to safeguard data integrity. With at least 2 years of experience in data engineering, proficiency in SQL and Python, and knowledge of cloud platforms like AWS or GCP, you’ll thrive in this role. We are not just looking for technical skills; we want a team player who is passionate about solving complex challenges and communicating effectively with stakeholders. At BDG, you’ll find a culture that values innovation and impact, and we offer competitive compensation, unlimited PTO, and comprehensive health benefits. If you're ready to be part of a leading media company that reaches over 115 million readers monthly, BDG is the place for you. Join us and shape the future of data-driven media!

Frequently Asked Questions (FAQs) for Data Engineer Role at BDG
What are the responsibilities of a Data Engineer at Bustle Digital Group?

As a Data Engineer at Bustle Digital Group, your primary responsibilities will include developing and maintaining scalable data pipelines, optimizing data storage, and collaborating with cross-functional teams to create efficient data solutions. You'll also be ensuring data quality and implementing monitoring processes to maintain data integrity.

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What qualifications are required to apply for the Data Engineer position at BDG?

To apply for the Data Engineer position at Bustle Digital Group, candidates should have at least 2 years of experience in data engineering, a strong proficiency in SQL and Python, and familiarity with cloud platforms such as AWS or GCP. Experience with big data tools and frameworks like Spark or Airflow is also beneficial.

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How does a Data Engineer at BDG contribute to the company's data strategy?

A Data Engineer at Bustle Digital Group contributes to the company's data strategy by supporting the Director of Data Engineering in designing scalable architectures and best practices. You'll work on enhancing data accessibility and performance to drive insights across advertising, affiliate sales, and editorial content.

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What technologies should a Data Engineer at BDG be familiar with?

A Data Engineer at Bustle Digital Group should be familiar with technologies such as SQL for querying data, Python for automation, and cloud platforms like AWS, GCP, or Azure. Experience with data warehouses like BigQuery, Redshift, or Snowflake, and distributed processing frameworks like Spark, will also be essential.

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What benefits does Bustle Digital Group offer to Data Engineers?

At Bustle Digital Group, Data Engineers enjoy competitive compensation, unlimited PTO, comprehensive health benefits, and a flexible work environment. BDG values work-life balance and provides a retirement savings plan to secure your financial future.

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Common Interview Questions for Data Engineer
Can you describe your experience with ETL processes as a Data Engineer?

When answering this question, detail specific ETL projects you have worked on, the tools you used, and the challenges you faced. Emphasize how you optimized these processes to improve data extraction, transformation, and loading efficiency.

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How have you ensured data quality in your previous projects?

Discuss the methods you employed to maintain data quality, such as implementing validation checks, monitoring data pipelines, and cleaning data regularly. Highlight specific instances where your efforts improved the overall data quality in a project.

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What is your experience with cloud platforms and big data technologies?

Describe your hands-on experience with cloud platforms like AWS or GCP and the big data tools you have worked with, such as Spark or Airflow. Be sure to mention any projects where you leveraged these technologies to solve complex data challenges.

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How do you approach collaboration with non-technical teams?

In your response, highlight your communication skills and your ability to translate complex technical concepts into understandable terms. Provide an example where you successfully collaborated with non-technical stakeholders to develop a data-driven solution.

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What strategies do you use to optimize query performance?

Explain your approach to optimizing query performance by discussing techniques like indexing, partitioning, and denormalization. Provide any specific examples where these strategies led to measurable improvements in performance.

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Can you discuss a complex data problem you've solved?

When answering, articulate the details of the data problem, the steps you took to solve it, and the tools you utilized. Focus on the impact your solution had on the project or team outcome.

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What makes you passionate about data engineering?

Share personal anecdotes that reflect your passion for data engineering. Discuss what aspects of the field excite you, such as solving complex problems, working with innovative technologies, or contributing to data-driven decision-making.

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How do you prioritize your tasks when working on multiple data projects?

Mention your time management skills and how you utilize techniques like agile methodologies or project tracking tools to prioritize tasks. Provide examples of how you've successfully managed competing deadlines in the past.

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How familiar are you with data governance policies?

Discuss your understanding and experience with data governance policies. Highlight any relevant frameworks, compliance standards, or governance tools you have worked with to ensure data integrity and security.

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What role do you see data engineering playing in a media company like BDG?

Articulate your perspective on the critical role data engineering plays in enhancing audience insights, driving content monetization, and making strategic decisions. Describe how you envision contributing to BDG’s data-driven media approach.

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BDG is one of today’s leading global media companies with a portfolio of distinct digital and experiential brands that are shaping culture through its authentic and trusted storytelling.

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DATE POSTED
February 12, 2025

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