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Databricks Software Jobs (NOW HIRING)

Databricks

Staff Software Engineer - IAM

Bellevue, WA · On-site

Databricks is a data and AI company that empowers data teams to tackle significant challenges through its robust data and AI infrastructure platform. They are seeking a Staff Software Engineer ...

Databricks

Sr Software Engineer-Networking

Mountain View, CA · On-site

$166K - $225K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

Databricks

Senior Software Engineer - Fullstack

Seattle, WA · On-site

$157.70K - $213.80K/yr

P-951 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... As a Full Stack software engineer, you will work with your team and product management to make ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA · On-site

$137.50K - $181.30K/yr

Databricks is a data and AI company that builds and runs the world's best data and AI infrastructure platform. The Senior Software Engineer on the Money team will be involved in the entire billing ...

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$48K

$111.8K

$166K

How much do databricks software jobs pay per year?

As of May 30, 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 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 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 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.

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 May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Engineering Manager - Databricks SQL Control Plane

Engineering Manager - Databricks SQL Control Plane

Databricks

Mountain View, CA • On-site

$190K - $261.25K/yr

Full-time

Posted 10 days ago

Job description

RDQ326R233
At Databricks, we are passionate about enabling data teams to 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.
Databricks SQL (DBSQL) is a serverless data warehouse on the Databricks Lakehouse Platform that lets you run all your SQL and BI applications at scale. The Databricks SQL Control Plane team builds scalable solutions for managing the multi-tenanted DB SQL service. This team creates and maintains services that allow customers to create a data warehouse, scale it within seconds, and run mission critical workloads at scale. The team is seeking an Engineering Manager to spearhead the development of a new service and architecture for the next generation of our product.
The key responsibilities include:
  • Leading a team of talented software engineers to build the next-generation low-latency, multi-tenanted, cloud native data warehousing system
  • Growing the team by hiring strong engineering talent
  • Leading and participating in technical, product and design discussions relating to cloud native database systems
  • Managing and operating a highly available service in the cloud
  • Growing leaders on the team by providing coaching, mentorship and growth opportunities
  • Playing a key role in defining the product and engineering roadmap for the team
  • Partnering with other engineering and product leaders on planning, prioritization and staffing.
  • Creating a culture of excellence on the team while leading with empathy

What we look for:
  • 5+ years experience working in, database systems, data processing or related domains
  • Experience building highly available cloud services on AWS, GCP or Azure
  • Building, growing and managing high performance teams
  • Experience defining and meeting SLOs for highly available systems
  • Ability to attract and hire engineers who meet the Databricks hiring standards.
  • Comfort working cross functionality with product management and partners to build products that drive user growth

Preferred
  • Experience working Rust

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$190,000-$261,250 USD
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.
BenefitsAt 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 click here.
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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