Databricks

Senior Software Engineer - Distributed Data Systems

Berlin, Germany
Java Scala C++ Spark Hadoop
Description

P-164

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

As a software engineer, you will join as a founding member of the not only the Berlin site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).

The responsibilities you will have:

  • Drive requirements clarity and design decisions for ambiguous problems
  • Produce technical design documents and project plans
  • Develop new features
  • Mentor more junior engineers
  • Test and rollout to production, monitoring.

What we look for:

  • BS in Computer Science or equivalent practical experience in databases or distributed systems
  • Comfortable working towards a multi-year vision with incremental deliverables
  • Motivated by delivering customer value and impact
  • 5+ years of production level experience in either Java, Scala or C++
  • Solid foundation in algorithms and data structures and their real-world use cases
  • Experience with distributed systems, databases, and big data systems (Spark, Hadoop)

Benefits

  • Employer contributions to public or private health plan
  • Equity awards
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance
  • Paid Parental Leave
  • Mental wellness resources

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering 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, color, 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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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