Senior Data Engineer

We believe in the power of hiring. Because the potential for people to do something outstanding has everything to do with being in the right role, on the right team, at the right time. That’s where Greenhouse comes in – from recruiting to on-boarding, we make software to help every company be great at hiring.

Greenhouse is hiring a Senior Data Engineer to join our team!

As a senior member of our Data Engineering team, you will drive the value of our data sets by working with stakeholders across the business to architect and deliver highly leverageable data sets. We’re searching for someone with a product mindset who can help shape how we refine, package, and monetize our data products, making a real impact on our company’s bottom line. 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 and junior teammates; no job is too small for you
• 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 (ease of use)
• 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

You should have

• A background as a software developer and feel comfortable writing in languages like Python, as well as working directly with SQL
• Experience architecting data pipelines
• An expertise in data modeling to allow stakeholders to make data-driven decisions
• A track record of and expertise in 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 $154,200 - $216,300. 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.

The anticipated closing date for this role is May 16th, 2025.

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Who we are

At Greenhouse, we celebrate having a diverse group of hardworking employees and it hasn’t gone unnoticed. We’ve won numerous awards including Inc. Magazine Best Workplace (2018-2022), Glassdoor #1 Best Place to Work, Forbes Cloud 100, Deloitte Technology Fast 500, Inc. 5000, Crain’s Best Places to Work NYC, Fortune’s Great Place to Work (2019 - 2022),  and Mogul’s Top 100 Workplaces for Diverse Representation (2022). We pride ourselves on fostering a collaborative culture throughout every step of a Greenhouse employee's journey. From day one of our interview process to executive "Ask Me Anything" sessions, we consisten