Data Engineer

Our mission at Greenhouse is to make every company great at hiring – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can help companies measurably improve the way they hire. 

Join us to do the best work of your career, solving meaningful problems with remarkable teams.

Greenhouse is hiring a Data Engineer to join our team!

As a member of our Data Engineering team, you will drive the value of our data by working with stakeholders across the business to architect and deliver highly valuable data sets. We’re searching for someone who can own data quality, enhance user experience, and drive operational efficiency through their work as a Data Engineer. If you are a data enthusiast, energized by working with cutting-edge tools to build valuable data assets, this is the role for you. 

Learn more about our engineering culture here.

Who will love this job

• A standout colleague – you thrive off of developing and supporting your peers 
• A doer – you get things done, you move quickly, and you love working in a dynamic environment
• A product-minded engineer – you not only build elegant solutions, but understand the business impact of your work
• An excellent communicator – you have a talent for explaining technical processes concisely (even to non-engineers), and work well with cross-functional internal teams

What you’ll do

• You will partner with folks across our product engineering teams as well as data humans (analysts and scientists) around the company
• Develop datasets with the customer in mind 
• Focus on data quality and testing to ensure we find bugs before our stakeholders, i.e., avoids trust bugs
• Build reporting schemas and data models that are performant and easy to use
• Leverage AI to accelerate your work and the impact of the solutions you build
• Build data pipelines and tools using Snowflake, dbt, Kubernetes, and Airflow, and help lay the foundation for our growing machine learning capabilities
• Work across our data stack to evolve our data products - from data pipelines to analytical modeling to machine learning tools
• Additional projects and responsibilities as business needs require

You should have

• Experience in software development and a level of comfort navigating Python and SQL
• Experience architecting data pipelines
• Experience in data modeling to allow stakeholders to make data-driven decisions
• A track record of building data products that have real business impact
• Experience developing and debugging ETLs that run across multiple systems and tools (Airflow, Argo, etc.)
• Experience working cross-functionally to deliver clean and high-value data products
• Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter

Applicants must be currently authorized to work in the United States on a full-time basis.

If you are based in California, we encourage you to read this important information for California residents linked here.

The national pay range for this role is $141,000 - $180,000. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

Greenhouse provides a variety of benefits to employees, including medical, dental, and vision insurance, basic life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer short-term and long-term disability coverage, a 401(k) plan and company match. U.S. based employees also receive, per calendar year, up to 14 scheduled paid holidays and up to 80 hours of paid sick leave. Non-exempt employees accrue up to 20-25 days of paid vacation time annually, depending on tenure, and exempt employees have flexible paid time off (PTO).

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