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Home›Jobs›Databricks›Sr. Software Engineer - Data Engineering
Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

🌐 Website💼 LinkedIn𝕏 TwitterAll 675 jobs →
Databricks

Sr. Software Engineer - Data Engineering

Databricks • Aarhus, Denmark

Posted 1 month ago🏛️ On-SiteSeniorData engineer📍 Aarhus
Apply Now →

Skills & Technologies

JavaScalaGoPythonSQLAWSAzureGCPDockerKubernetes

Job Description

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.

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