The Atlantic has, for more than 160 years, advanced ideas that matter and sparked global conversation on the most important issues of our time. We aim to bring clarity and original thinking to questions of consequence, on topics ranging from politics, the economy, and global affairs to technology, science, and culture. As the third-longest-running magazine in America, we find ourselves at a remarkable moment: one of both continuation and transformation, of upholding our legacy while continuously reinventing ourselves for the future.

The Atlantic is seeking a Mid-Level Data Engineer to help design and build the infrastructure that powers the company's mission to use data to drive engagement with our journalism and advertising and to inform company-wide strategy. Data Engineering at the Atlantic is committed to building a secure and scalable modern data stack that makes it possible for data stakeholders at the Atlantic to analyze, build models, and to deliver insights on user and advertising data. 

As a member of our Data Engineering team you will:

• Architect, implement and optimize data pipelines that sync data between our data warehouse and third-party platforms. Transform data in our warehouse to actionable insights.

• Iterate and expand upon the Atlantic’s modern data stack. The team currently uses Airflow, AWS, BigQuery, Github Actions, Fivetran, dbt, and Looker.

• Closely collaborate with the Data Science team to transfer software engineering knowledge for optimizing queries and to run machine learning models in production.

• Influence the team’s direction through daily stand-ups, and biweekly sprint planning and retrospectives at the agile team level and up.

• Deliver code reviews with helpful and meaningful feedback for your teammates.

• Partner with our legal team to ensure our data pipelines and warehouse comply with regulatory requirements.

• Promote a data-driven culture by working with teams to access and understand their data in addition to incorporating their data to support the Atlantic’s business goals. 

As a Data Engineer:

• You have a broad set of skills: You are knowledgeable about software engineering best practices including systems design, testing, and documentation in addition to data engineering skills, such as data pipelines, workflow orchestrators, data modeling, and streaming data. You are interested in gaining a deeper understanding of data governance and data quality.

• You are a strong communicator: You can collaborate closely with other engineers-as well as data scientists and marketers on a daily basis. You can write clear and concise documentation.

• You are a critical thinker: You don't need to be told how to get from point A to point B; you feel comfortable tackling well-defined tasks with little to no supervision. You are up for the challenge of figuring out how the pieces of complex data and business logic fit together.

• You have a team-first mentality: You care deeply about the people you work with and are excited to contribute to others' success.

The Atlantic Monthly Group LLC and its affiliates ("The Atlantic") are Equal Opportunity Employers. We do not discriminate against our applicants because of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.  

Please apply here.