Sr. Software Engineer - Data Engineering

Databricks

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Aarhus, Denmark First seen 3 weeks ago Last seen 6 hours, 54 minutes ago Greenhouse

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Job Description

AI Summary

• Design and implement cost-attribution models and capacity management systems for Databricks' infrastructure, combining data engineering expertise with distributed systems knowledge. • Develop data pipelines, metrics, and telemetry systems to track system reliability and efficiency across the product, providing visibility to internal teams. • Requires BS in Computer Science or related field, 5+ years production experience with Java/Scala/Go/Python and SQL, and 2+ years professional data engineering experience. • Must have experience building large-scale distributed systems and working with cloud technologies (AWS, Azure, GCP, Docker, Kubernetes). • Databricks offers comprehensive benefits and emphasizes diversity and inclusion across its global workforce of 10,000+ organizational customers.

P-1343

As a software engineer with a data engineering focus, you will work with your team to drive projects that are centered around data analysis and infrastructure for critical business domains for cost attribution, capacity forecasting and efficiency tracking.

The impact you'll have:

Design and implement cost-attribution models and systems by combining your data engineering expertise with a deep technical understanding of the underlying scheduling platforms.
Develop systems that generalize capacity management to ensure flexibility, efficiency, and safety across diverse workloads and environments.
Build systems to automatically maintain the right balance between operational efficiency and safety by monitoring, forecasting, and proactively managing capacity demand across systems.
Build foundational data models, metrics, and telemetry pipelines to track product-wide system reliability and efficiency—providing end-to-end visibility and empowering other teams with actionable insights.

What we look for:

BS (or higher) in Computer Science, or a related field.
5+ years of production level experience in one of: Java, Scala, Go, Python - and SQL.
2+ years of professional experience with Data Engineering or Data Science.
Experience developing large-scale distributed systems.
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.

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 Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

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.

Skills

sql go kubernetes aws docker java python

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Job Information

Company:
Databricks
Location:
Aarhus, Denmark
Job Type:
Full-Time
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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