OneHouse-posted 9 months ago
$215,000 - $250,000/Yr
Full-time • Mid Level
Sunnyvale, CA
11-50 employees
Publishing Industries

Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry's most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make it available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!

  • Productionize the next generation of our data tech stack by building the software and data features that process all of the data we ingest.
  • Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.
  • Act as a Subject Matter Expert (SME) to deepen our teams' expertise on database internals, query engines, storage and/or stream processing.
  • Design new concurrency control and transactional capabilities that maximize throughput for competing writers.
  • Design and implement new indexing schemes, specifically optimized for incremental data processing and analytical query performance.
  • Design systems that help scale and streamline metadata and data access from different query/compute engines.
  • Solve hard optimization problems to improve the efficiency of distributed data processing algorithms over a Kubernetes cluster.
  • Leverage data from existing systems to find inefficiencies, and quickly build and validate prototypes.
  • Collaborate with other engineers to implement and deploy, safely rollout the optimized solutions in production.
  • Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform).
  • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.
  • Ability to embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions.
  • Ability to prioritize across feature development and tech debt with urgency and speed.
  • Ability to solve complex programming/optimization problems.
  • Ability to quickly prototype optimization solutions and analyze large/complex data.
  • Robust and clear communication skills.
  • Experience working with database systems, Query Engines or Spark codebases.
  • Experience in optimization mathematics (linear programming, nonlinear optimization).
  • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences.
  • PhD degree with 2+ years industry experience in solving and delivering high-impact optimization projects.
  • Competitive Compensation; the estimated base salary range for this role is $215k - $250,000
  • Equity Compensation; our success is your success with eligible participation in our company equity plan
  • Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits
  • Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan
  • Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
  • Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays
  • Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ
  • Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks
  • Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup
  • Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service