At Databricks, we’re on a mission to empower data teams to tackle the world’s most ambitious challenges—whether that’s reimagining global transportation or accelerating medical innovation. We do this by delivering the most advanced data and AI infrastructure on the planet, giving organizations the deep insights they need to transform their industries.
The Lakeflow Engineering team is at the forefront of this mission. We power ETL at massive scale on the Databricks Lakehouse, enabling data engineers everywhere to build high-performance, reliable, and scalable pipelines. We are the pioneers of declarative ETL, with a product line that includes: Delta Live Tables, Streaming Tables, and Materialized Views—helping users author and run complex data workflows with ease.
We're now looking for a software engineer to join the Lakeflow Pipelines Engine team. You will get to participate from the front row in shaping the future of ETL by driving innovation at the intersection of AI, distributed systems, and developer experience. You will solve challenging problems that span from product to infrastructure using cutting edge technologies.
Impact you will have:- Drive Innovation in Declarative ETL: Design, develop, and deliver cutting-edge capabilities that establish Databricks as the leader in declarative ETL.
- Champion Customer-Centric Solutions: Begin with a deep understanding of customer pain points and iterate on features that directly address their most complex ETL challenges.
- Own from inception to delivery: Define the architecture, guide the product roadmap, and take end-to-end ownership of delivering meaningful, scalable outcomes.
- BS in Computer Science or equivalent practical experience in databases or distributed systems
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value and impact
- 3+ years of production level experience in either Java, Scala or C++
- Solid foundation in algorithms and data structures and their real-world use cases
- Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop)
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.
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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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
