At Databricks you will work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. As a Data Engineer at Databricks, you will shape the future big data and the machine learning landscape for leading Fortune 500 organizations.
You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, for example implementing pipelines from data engineering through model building and deployment. A successful Data Engineer is curious and excels in collaboration. As part of joining Databricks, you will have a direct channel to the developers of Apache Spark™, Delta Lake, and MLflow, and the opportunity to attend top big data conferences.
The impact you will have:
What we look for:
We are hiring at a range of levels and adjust our competency expectations, however for a senior-level role we would expect the following:
Databricks is the data and AI company. Thousands of organizations worldwide — including Comcast, Condé Nast, Nationwide and H&M — rely on Databricks' open and unified platform for data engineering, machine learning and analytics. Databricks is venture-backed and headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we foster a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, colour, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.