Tommy John is a comfort-focused lifestyle brand committed to solving the problem people have with their clothing. Most well-known for reimagining the fabric, fit, and function of underwear and undershirts, Tommy John has spent the past decade making the online and in-store shopping experience more comfortable. We are constantly on a mission to add smart, innovative and fun-loving team members, and are looking for a Senior Data Engineer to come join our New York based headquarters. Our HQ Office is located in Lower Manhattan and our teams are on-site 3 days per week.

　　Reporting to the VP of Analytics, the Senior Data Engineer will join a scrappy team that works hard to keep up with the data needs of a fast paced company. The team works on exciting data problems as they relate to merchandise, web analytics, customer behavior, and marketing performance, to name a few. The data stack follows a modern data stack philosophy and includes Redshift, Fivetran, dbt, & Looker. The team also believes in inclusivity and collaboration and is passionately focused on delivering a 10x customer experience. They build for scale and optimize for the fastest time to insight, acting as the force multiplier for Tommy John’s business levers.

　　Do you enjoy solving data problems with solutions that scale?

　　Does a good README.md make you feel warm and fuzzy inside?

　　Does “dry” describe your work better than your favorite pair of Tommy John Air underwear?

　　Do you enjoy working closely with a fun team of data enthusiasts?

　　If you answered yes to all these questions then we’d love to hear from you!

　　Responsibilities:

　　Data Pipeline Development:

　　Design, build, and maintain robust and scalable data pipelines to support both batch and real-time data processing

　　Implement custom data pipelines to efficiently extract, transform, and load (ETL) data from various sources into our data warehouse (Redshift)

　　AWS Infrastructure:

　　Work closely with AWS services, particularly Redshift, to design and optimize the data infrastructure

　　Implement and maintain data storage, compute, and networking solutions within AWS

　　Modern Data Stack:

　　Leverage and enhance the modern data stack, incorporating technologies such as Airflow, dbt, and other relevant tools to streamline data workflows

　　CI/CD Implementation:

　　Implement and manage continuous integration and continuous deployment (CI/CD) processes for data engineering workflows

　　Collaborate with cross-functional teams to automate testing and deployment of data pipelines

　　Data Quality and Monitoring:

　　Implement and maintain data quality checks and monitoring processes to ensure the accuracy and reliability of data

　　Proactively identify and address data quality issues in collaboration with data analysts and other stakeholders

　　Collaboration and Documentation:

　　Collaborate with data analysts, engineers, and other stakeholders to understand data requirements and deliver solutions that meet business needs

　　Document data engineering processes, including pipeline architectures, data models, and configurations

　　Experience, Skills, & Attributes:

　　5-7 years of hands-on experience in data engineering roles

　　Bachelor’s degree in Computer Science, Information Technology, or a related field

　　Proficiency in AWS services, with a focus on Redshift

　　Demonstrates alignment with TJ core values: Humble, Adaptable, Mindful, GSD, & Curious

　　Demonstrated experience in designing and implementing custom data pipelines

　　Familiarity with modern data stack components such as Airflow, dbt, etc.

　　Strong understanding of CI/CD practices and experience implementing them in a data engineering context

　　Knowledge of SDLC best practices and experience working within an SDLC framework

　　Strong SQL skills and experience with data modeling

　　Ability to be on-site in our HQ Office in Lower Manhattan 3 days per week

　　Experience with cloud platforms (eg. AWS, Google Cloud Platform, Microsoft Azure), Familiarity with version control systems (e.g Git), Hands-on experience fine tuning data warehouse performance, and Experience with reverse ETL tools all preferred but not required

　　Some awesome reasons to join us at Tommy John:

　　Our Team Culture of Collaboration and Community; Happy Office, Culture and DEI Events, Fun Snacks and Happy Hours

　　Comprehensive Benefits for you and your family - Medical, Dental, Vision, 401k and more with employee only coverage paid 100% by Tommy John 

　　Generous Paid Parental Leave

　　Flexible Paid Time Off Policy

　　Hybrid Work Environment 

　　Tommy John Employee Discount

　　Learning Opportunities  

　　Salary range: $130,000 to $150,000 annually

　　But, don't just take our word for it. Check out #WorkAtTommyJohn on Instagram for a behind the scenes look!

　　#LI-DNI

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