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Software Engineer - Fullstack (L4)

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P-950

Deeply understanding what’s in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to large-scale distributed processing with Spark and advanced ML tools for experimentation and model serving, we empower our customers to gain insights and drive innovation. With GenAI’s ability to understand unstructured data, there is a big unlock waiting to happen that will unleash domain specific AI agents for planning, researching and carrying out tasks on behalf of the customers.

To enable all this on Databricks, making data ingestion seamless is crucial. That’s the mission of the Ingestion Team: To make the ingestion of all data—whether structured or unstructured—simple. Simplifying the complex is hard, and that’s where you come in. This role requires building intuitive user experience to ingest high-volume data, at petabytes per day scale from diverse sources - cloud storage, event queues, SaaS apps and databases supporting different formats (XML, JSON, Parquet, CSV, text, blob) and landing them in Delta Lake with schema evolution, CDC (change data capture) capabilities.

Join us in making data ingestion effortless and be part of the team that powers the future of AI + data analytics at Databricks!

As an engineer on team you will work on projects that

Simplify the ingestion journey across data sources
Enable e2e monitoring and observability into long running ingestion workflows
Collaborate with partner teams to enable use cases like RAG and AI agents
Provide Quality insights (data skews, label skews) on the ingested data

What we look for:

3+ years of experience with HTML, CSS and JavaScript, Typescript
Passion for user experience and design and a deep understanding of front-end architecture.
Comfortable working towards a multi-year vision with incremental deliverables.
Motivated by delivering customer value.
3+ years of experience with React frameworks.
3+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).

Bonus if you also have:

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
Experience developing large-scale distributed systems.
Good knowledge of SQL.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.

Local Pay Range

$142,500—$180,500 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.

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.

Average salary estimate

$161500 / YEARLY (est.)

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$142500K

$180500K

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What You Should Know About Software Engineer - Fullstack (L4), Databricks

Join Databricks as a Software Engineer - Fullstack (L4) in beautiful Bellevue, Washington, and be part of a cutting-edge team that's redefining how businesses interact with their data! With our powerful analytics and machine learning tools, we're tackling the challenge of understanding enterprise data by streamlining the ingestion process. Your role will focus on creating intuitive user experiences for ingesting massive volumes of data—from structured to unstructured—essentially making data ingestion a breeze. You'll be part of the Ingestion Team, which strives to simplify the ingestion journey for diverse data sources, while ensuring seamless monitoring of long-running workflows. With your expertise in HTML, CSS, JavaScript, and React, and experience in server-side technologies like Node.js or Python, you'll drive critical projects that enhance quality insights and support advanced AI initiatives. If you're passionate about user experience, have a flair for front-end architecture, and are motivated to deliver genuine value to customers, this is the perfect opportunity to advance your career. At Databricks, you'll collaborate with partner teams to facilitate innovative use cases and ultimately contribute to the future of AI-driven data analytics. Together, we can make a significant impact in the tech ecosystem and help organizations like Comcast and Grammarly thrive!

Frequently Asked Questions (FAQs) for Software Engineer - Fullstack (L4) Role at Databricks

What are the main responsibilities of a Software Engineer - Fullstack at Databricks?

As a Software Engineer - Fullstack (L4) at Databricks, your primary responsibilities will involve simplifying the data ingestion process across various sources, enabling monitoring of data workflows, and collaborating with partner teams to implement advanced AI use cases. You'll also focus on developing an intuitive user interface to handle high-volume data effectively while ensuring quality insights into the ingested data.