Data Engineer III
Remote
Calendly
Calendly is the modern scheduling platform that makes “finding time” a breeze. When connecting is easy, your teams can get more done.About the team & opportunity
What’s so great about working on Calendly’s Engineering team?
Calendly is looking for a Data Engineer to join our fast-growing team. This role will reside on the Data Engineering (DE) team with a focus on building our Data Platform. This platform, built on the Google Cloud Platform (GCP), ensures our company has access to timely, accurate, relevant, and proactively persuasive insights to efficiently grow the business.
Our ideal candidate will develop and maintain the enterprise data warehouse used to support and drive the growth of Calendly. You will be an influential member of the DE team to help deliver high-quality data pipelines to enable data-driven decisions while ensuring data accuracy and consistency. The right person for the job will have experience developing data pipelines built for the now and the future, have a keen eye for reliability and performance, and is a team player. You should have a hunger and passion for helping the business, asking the right questions, and delivering pipelines that push the business forward - all while helping shape the team.
A day in the life of a Data Engineer at Calendly
On a typical day, you will be working on:
- Creation of a high-volume data platform linking all aspects of Calendly’s business
- Ensuring proper, secure, and scalable instrumentation of data models in partnership with Product Engineering
- Managing performance, integrity, and security of data transfer and storage
- Identifying process improvements for data intake, validation, mining, and engineering as well as modeling, visualization, and communication deliverables
- Working with stakeholders to design and deliver assets necessary for their objectives and key results; these deliverables will span both Business Intelligence and customer facing reporting
- Ensure timeliness, accuracy, and relevance of data and deliverables
What do we need from you?
- 3-5 years of experience in a position designing and maintaining data pipelines, data models and reporting systems
- Strong programming skills in imperative and declarative languages - especially Python and SQL
- Experience with data modeling and cloud data warehouse experience
- Experience or with batch and streaming pipelines, i.e. Apache Spark, Beam
- Experience with orchestration techniques and frameworks like Airflow, PubSub
- Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
What’s in it for you?
Ready to make a serious impact? Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.
Our Hiring Process
We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process, please visit our careers page at www.careers.calendly.com.
Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com .
Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Hawaii, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.
All candidates can find our Candidate Privacy Statement here
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection
Compensation is based on a variety of factors including but not limited to location, experience, and job-related skills. In addition, Calendly offers a wide range of best in class total rewards. This includes comprehensive employee benefits like healthcare, dental, vision, parental leave, 401(k) match, paid time off, and much more. At Calendly we believe exceptional performance deserves exceptional rewards! During the hiring process, we are committed to sharing details about the compensation range for the position, enabling you to make an informed decision.
Please note that the compensation details listed in role postings reflect the base salary only, and do not include bonus/commission, equity, or benefits.
Base Pay Range National - Salary$133,705—$180,895 USDBase Pay Range California - Salary$156,145—$211,255 USDTags: Airflow Business Intelligence Data pipelines Data warehouse Engineering GCP Google Cloud Pipelines Privacy Python Security Spark SQL Streaming
Perks/benefits: 401(k) matching Career development Equity Parental leave Salary bonus Startup environment
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