Data Engineering Manager
San Francisco Bay Area
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Revinate
We power 950 million+ guest profiles and $17.2 billion in direct revenue for over 12,500 hotels worldwide.About Revinate We support full remote work but also maintain offices in Amsterdam, Singapore and Bend Oregon, Revinate seeks to build specialized and easy-to-adopt technology to solve these challenges. Revinate enables hoteliers to transform their guest data into revenue. With Revinate Marketing and Revinate Guest Feedback, hoteliers are empowered to make smarter decisions, resulting in increased direct revenue and guest engagement. Much like the industry we serve, we are a team of hard-working and passionate individuals who love our customers and are committed to surprising and delighting them with every new innovation and disruption.
The company is backed by leading Silicon Valley investors, including Serent Capital, Benchmark Capital, Tenaya Capital, and Sozo Ventures. Headquartered in San Francisco with regional offices in Amsterdam and Singapore, Revinate counts tens of thousands of the world’s leading hotels as customers.
To learn more, please visit www.revinate.com
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
What We Believe We believe that hoteliers deserve better. The global hotel sector is a booming $500B+ industry, yet hotels are facing many complex challenges, including increased pressure from online travel agencies and intense competition from ever-growing room inventory and the shared economy. That coupled with aging, cumbersome technology is making the job of the hotelier more difficult than ever. At Revinate, we use cutting edge technology to build powerful software for hotels to take back control and drive direct revenue. The simplicity and beautiful UX of our solutions are a breath of fresh air in an industry of old technology.
Role Overview Revinate is seeking an experienced Data Engineering Manager to lead our Pipeline team. This team is responsible for building and maintaining reactive microservices to enable a highly-available data pipeline that processes millions of events, in real-time, each day, from thousands of hotels across the globe. A passion for building a high-volume, cloud-native, distributed stream-processing pipeline is a must. Additionally, the ability to collaborate with others, regardless of title, to drive cross-team technical and process improvements is a requirement. If you enjoy coming up with thoughtful solutions to challenging problems then we may be a match.
What You'll Do
- Lead and coach a team of data engineers, providing them with challenges, growth opportunities, and performance feedback
- Build, scale, and maintain a high-volume, cloud-native, distributed stream-processing pipeline that runs 24x7
- Establish a culture of rapid iteration and frequent production deployments, without sacrificing quality
- Play a hands-on role investigating issues, asking questions, and prioritizing tech debt
- Promote quality and best practices through active participation in code reviews, knowledge sharing, and delivery of learning and development initiatives
- Collaborate with product managers, project managers, and other engineers to understand, document, and deliver solution requirementsMonitor system performance and ensure timely recovery from incidents
- Work from home most days, but meet in person (in our downtown San Francisco office) once every two weeks
What You'll Bring
- Experience as a Data Engineering Manager, growing and developing amazing engineers
- Exceptional written and verbal communication skillsAbility to build relationships and influence peers and non-direct reports
- Deep understanding of distributed systems, microservice architecture, and reactive design patterns
- Unwavering commitment to engineering excellence and craftsmanship, setting high expectations for systems and teams
- Experience with data engineering technologies (Java, Kafka, Kafka Streams, Cassandra, Spark, Elasticsearch, S3, Protocol Buffers) and supporting technologies (Docker, Kubernetes, Helm, Gradle, GitLab, AWS)
- Systems thinking mindset with a strong desire to understand the entire end-to-end architecture and data flow
- Ability to challenge existing designs and propose solutions for highly-scalable distributed systems while minimizing technology costs and maintenance obligationsIntuitive sense for spotting, investigating, and prioritizing data processing anomalies
Benefits
- Health insurance-employee premium paid 100% by Revinate
- Dental insurance-employee and dependents’ premium paid 100% by Revinate
- Vision insurance-employee and dependents’ premium paid 100% by Revinate
- 401(k) with employer match
- Short & Long Term Disability insurance
- Life insurance
- Paid time off
- Monthly work from home stipend
- Telehealth access
- Employee Assistance Program (EAP)
#LI-Remote#LI-AE1
Excited?! Want to learn more? Apply Now!Our Core Values:One Revinate - United & Strong, on a single mission togetherBuilt on Trust - It’s the foundation of everything we doExpect Amazing - We think, dream & deliver bigCustomer Love -- When the customer wins, we winMake it Simpler -- Apply it to everything we doHungerness -- Feel it, follow it, be relentless about our successGrounded in Gratitude - We’re glad to be here & make the most of every day
Revinate Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Revinate complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary.
If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to recruiting@revinate.com.
By submitting your application you acknowledge that you have read Revinate's Privacy Policy (https://www.revinate.com/privacy/)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Cassandra Distributed Systems Docker Elasticsearch Engineering GitLab Helm Java Kafka Kubernetes Microservices Privacy Spark UX
Perks/benefits: 401(k) matching Career development Flex vacation Gear Health care Home office stipend Insurance Startup environment Team events
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