Senior Data Engineer, Greenhouse Software
$154.2-216.3k
More information about location
Delivering measurable hiring results
Be an early applicant
Delivering measurable hiring results
501-1000 employees
Be an early applicant
$154.2-216.3k
More information about location
501-1000 employees
Company mission
To make every company great at hiring.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
Application process
- The anticipated closing date for this role is May 16th, 2025
Our take
Quality candidates are in demand and have options. It's not easy for companies to make the perfect hire. They face recruitment challenges. Firstly, they have to find the right people to interview. And secondly, they have to demonstrate that they have the right job for them.
Greenhouse is a hiring software company that helps companies optimize their recruitment and become great at it. With over 7,500 customers, the company supports some of the world's most successful companies such as Buzzfeed, Booking.com, HubSpot, and J.D. Power.
In January 2021, TPG Growth acquired a majority stake in Greenhouse with an investment of approximately $500 million to support their commitment to improve diversity and reduce inequality in the hiring process.
Going forward, the challenge for Greenhouse will be the correct utilization of its software by its clients to ensure its AI does not amplify existing bias in the recruitment process. However, the company has addresses bias challenges and is making deliberate moves to negate this.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jul 2018
$50m
SERIES D
Aug 2015
$35m
SERIES C
Total funding: $111.5m
Company HQ
Midtown Manhattan, New York, NY
Leadership
Daniel Chait
(CEO)With a background in Software Engineering, they co-founded Business Velocity and Lab49, where they worked for almost 10 years. In January 2012, they co-founded Greenhouse Software.
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