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Mountain View, California, United States · On-site
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$240k–$333k/yr
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SPAR GroupMountain View, California, United States · On-site
Overview Retail Merchandiser IPC SPAR is growing and we are expanding our Part Time Retail Merchandiser team in your area. As a SPAR Merchandiser, know that you are with the leaders in the business that provides the best…
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Skills: Product Management, Artificial Intelligence, Machine Learning, Developer Platforms, Infrastructure Software
Mountain View, California, United States · On-site
$159k–$230k/yr
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Skills: Front-end development, UX design, Prototyping, TypeScript, HTML5
Mountain View, California, United States · On-site
$116k–$166k/yr
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Skills: Financial Planning And Analysis, Business Intelligence, SQL, Python, R
Mountain View, California, United States • On-site
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Design and implement distributed systems to replicate and recover data pipelines across regions. Solve complex challenges involving consistency, idempotency, and failover workflows to ensure data reliability.
Requires 8+ years of experience in related systems and strong proficiency in production languages like Java, Scala, C++, Go, or Python. A deep understanding of distributed systems, consistency, and data lineage is essential.
RDQ427R70
Our mission at Databricks is to radically simplify the data lifecycle with a unified Lakehouse platform for data engineering, analytics, and AI. The Lakehouse addresses major challenges in enterprise data platforms, including reliability, data staleness, operational complexity, total cost of ownership, and data lock-in. Learn more about the Lakehouse architecture.
Lakeflow is a critical part of this vision, helping customers build and operate streaming and batch ETL pipelines that power business-critical data products. As these workloads become increasingly mission-critical, customers need them to continue operating through infrastructure failures and cloud-region outages.
As a Staff Engineer on the part of the Lakeflow Disaster Recovery team, you will design and implement distributed systems that replicate and recover pipelines across regions. A pipeline is more than source code and output tables: it includes streaming checkpoints, source offsets, stateful operator state, table versions, transaction metadata, schedules, and dependencies across a dataflow graph. You will solve challenging problems involving consistency, idempotency, causal ordering, failover, failback, and safe recovery without silent data loss or duplication.
You will work in one or more of the following areas:
What we look for:
This role offers the opportunity to build the foundations of resilient Lakehouse computing and help customers keep their data pipelines running when failure matters most.
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.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
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.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA
