Job Description

About Onehouse 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 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! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Impact You Will Drive: As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space. Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration. Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution. Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse. Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large. A Typical Day: Build, design and deliver features/improvements to Apache Hudi. Ensure high quality and timely delivery of innovations and improvements in Apache Hudi. Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse. Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc. Partner with and mentor engineers on the team. What You Bring to the Table: 5-7+ years building large-scale data systems. You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions. Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress. An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data. Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform. Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases. Experience with large scale data compute engines / processing frameworks. Experience building distributed and/or data storage systems or query engines. An ability to prioritize across feature development and tech debt, balancing urgency and speed. An ability to solve complex programming/optimization problems. Robust and clear communication skills. Nice to haves (but not required): Experience working with open source projects and communities. Experience in optimization mathematics (linear programming, nonlinear optimization). Existing publications of optimizing large-scale data systems in top-tier distributed system conferences. PhD or Masters degree in a related field with industry experience in solving and delivering high-impact optimization projects. How We'll Take Care of You

• Competitive Compensation; the estimated base salary range for this role is $215,000 - $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

House Values One Team Optimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better Always Rome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act Fast We have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer Obsessed Everyone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. #J-18808-Ljbffr Onehouse

Job Tags

Odd job, Work at office, Remote work,

Similar Jobs