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Databricks Software Jobs (NOW HIRING)

Databricks

Sr Software Engineer -Public Sector

Mclean, VA · On-site

$155K - $214K/yr

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... As a Software Engineer on our Public Sector team, you will be responsible for the core backend ...

Databricks

Senior Software Engineer - Backend

Bellevue, WA · On-site +1

$138K - $182K/yr

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are ... As a software engineer with a backend focus, you will work with your team to build infrastructure ...

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All JobsDatabricks Software Jobs

Databricks Software information

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$48K

$111.8K

$166K

How much do databricks software jobs pay per year?

As of Jun 21, 2026, the average yearly pay for databricks software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

More about Databricks Software jobs
What cities are hiring for Databricks Software jobs? Cities with the most Databricks Software job openings:
What states have the most Databricks Software jobs? States with the most job openings for Databricks Software jobs include:
What job categories do people searching Databricks Software jobs look for? The top searched job categories for Databricks Software jobs are:
Databricks Software jobs near you
Infographic showing various Databricks Software job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Staff Software Engineer - AI Research Infrastructure

Staff Software Engineer - AI Research Infrastructure

Databricks

New York, NY • On-site

$189K - $224K/yr

Other

Posted 21 days ago

Job description

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe largescale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You'll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

  • Design and implement infrastructure that supports largescale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloudbased systems)
  • Enable researchers to go from idea to largescale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
  • Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
  • Influence the longterm roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
  • Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

  • BS/MS or PhD in Computer Science or related field
  • 5+ years of software engineering experience, including substantial time working on largescale distributed systems or infrastructure.
  • Have deep experience with building and operating distributed systems, data pipelines, or largescale backend services, ideally involving GPUs, clusters, or major cloud providers.
  • Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
  • Have built or significantly contributed to cluster schedulers, resource managers, or largescale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
  • Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, finetuning, evaluation), even if you're not primarily a research scientist.
  • Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, wellowned services.
  • Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

Apply