Remote, United States
September 17, 2021
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About Kandji
Kandji is building the future of Apple Enterprise Management. The use of Apple devices in the enterprise is growing rapidly. Drawing on decades of experience in Apple IT, we saw a dire need for a modern Apple device management platform that could accommodate growing businesses and increasing regulatory demands.
Kandji grew to hundreds of B2B customers within a few months of initial product launch in 2019, and secured a $60 million Series B in 2021. Today, we have a 95% Customer Satisfaction rate and a rapidly growing community of customers, including names like Crunchbase, Belkin, Rackspace, Allbirds, FabFitFun, VSCO, and Turo.
Behind our business is a handful of the best investors in tech. Together, we are creating a new category of device management that can better serve modern businesses.
The Opportunity
As a Lead Data Engineer, you are passionate and drive excellence across data ingestion, preparation and quality. The successful candidate will set the direction of data architecture implementation within our R&D division, helping us get the most from our data in effective ways. To do so, you will collaborate with industry specialists, product managers, and members of engineering staff to design and implement data pipelines and models that enable delivery of high quality, impactful product deliverables.
Day to Day
- Design, build and own a cloud based data platform capable of handling multi PB-scale
- Architect data platforms that can serve both customer use cases and/or internal stakeholders
- Collaborate with Software Engineers, Data Scientists, Third Party Vendors, and other stakeholders
- Raise the bar within engineering by adopting industry best practices, producing best in class code, documentation, testing, and monitoring
Minimum Qualification
- 5+ years of strong data engineering design/development experience in building large-scale distributed data platforms/products
- Experience designing and implementing data ingestion platforms, interacting with multiple third party data sources and assembling them into actionable structures
- Strong understanding of distributed systems as it relates to big data solutions.
- Experience with process orchestration frameworks (Airflow, Nifi, etc)Experience with various OLTP and OLAP systems and a strong understanding of how they work together as part of an end to end solution
- Experience with a variety of data serialization formats (Avro, Parquet, JSON, Protobuf, etc)Expertise in SQL & Python or JVM-based languages
- Excellent written and spoken communication skills and ability to work effectively with others in a team environment
Preferred Qualifications
- Experience with Security related SaaS product
- Experience in developing data architectures within greenfield efforts
- AWS Certified in Big Data or Data Analytics is a big plus
We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you’re someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you.
At Kandji we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.
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