Data Engineer
Ontario or British Columbia
Applications have closed
Greenhouse
Einstellungssoftware, die mehr als nur ein Bewerbermanagementsystem ist. Wir bieten HR-, Recruiting- und Talentakquise-Teams die Tools und die…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 Data Engineer to join our team!
As a member of our data engineering team, you will be given the opportunity to contribute to every part of our data infrastructure. Our data engineering team works with stakeholders in the product engineering teams as well as data analysts around the company to make sure their data is highly available and correct.
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 problem solver – you not only think about the bigger picture but can also connect the dots and strive to resolve issues quickly and efficiently
- 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 partners with folks across our product engineering teams as well as data humans (analysts and scientists) around the company
- Help design and build the data platform that supports both our product teams, as well as our internal data analysts
- Build data pipelines and tools using Snowflake, dbt, Kubernetes, and Argo, and help lay the foundation for our growing machine learning capabilities
- Work across our data stack to help us take our data products to the next level - 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
- Confidence in tackling greenfield projects and related tasks
- Experience developing and debugging ETLs that run across multiple systems and tools (Airflow, Argo, etc.)
- Experience working with analysts and data scientists to design and build data transformations that improve analytics and clean data
- 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 eligible to work in Canada.
For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company.
#LI-MB1
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 consistently cultivate an inclusive environment.
For all our employees, we offer a full slate of benefits from competitive salaries, stock options, fully paid option(s) for health coverage (medical, dental and vision), disability coverage, employer paid life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer flexible vacation and a 401(k) matching program. For Dublin-based employees, we offer 25 days' vacation and an employer matching pension program.
Our success in making companies great at hiring depends on our ability to create a diverse, equitable and inclusive environment. To that end, we’re committed to attracting, developing, retaining and promoting a diverse workforce, and infusing DE&I throughout all of our internal practices. By ensuring that every Greenie is able to bring a diversity of talents to our work, we’re increasingly capable of living out our mission and providing real insight from our products to support our customers. We encourage people from underrepresented backgrounds and all walks of life to apply. Come grow with us at Greenhouse, where we’re building a team to face the world’s increasingly complex and diverse hiring needs.
Want to learn more about our interviewing process? Check out our interviewing at Greenhouse page
**We are a distributed company and do our best work where it works best for us - as individuals and as teams. At this time, all employees are working remotely due to COVID-19.**
Our Talent Acquisition (TA) team at Greenhouse has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates’ personal and financial information. Please note that any communication from our hiring teams at Greenhouse regarding a job opportunity will only be made by a Greenhouse employee with an @greenhouse.io email address. We would never ask you as part of our interview process to provide personal or financial information, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you believe you’ve been a victim of a phishing attack, please mark the communication as “spam” and alert us right away at talentacquisition@greenhouse.io.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Banking Data pipelines Engineering Kubernetes Machine Learning Pipelines Python Security Snowflake SQL
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave Wellness
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