Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
Why join us?Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
As a Developer in Data, you will play a key role in building and evolving Workato’s billing/usage platform, the core system responsible for tracking usage, calculating charges, and ensuring accurate and transparent data for all our customers.
You will work closely with Data engineering, Infrastructure, Product, Finance, and Analytics teams to design and implement scalable data pipelines and services that power billing insights and financial reporting across the company.
Our billing platform relies on modern data technologies such as ClickHouse, Apache Flink, Kafka, Java microservices, and AWS powered managed infrastructure.
We are now entering the next stage of evolution, focused on:
Improving accuracy and reliability of billing and usage data.
Reducing latency between event emission and charge calculation.
Increasing transparency and auditability of billing processes.
Supporting new product metrics and dynamic pricing models.
You’ll help design and implement these changes, working in a highly collaborative and data-driven environment.
Design, implement, and maintain data pipelines and streaming jobs for billing and usage processing using Flink and Java.
Develop aggregation and reconciliation logic in ClickHouse, ensuring accuracy and consistency across billions of records.
Build high-performance APIs and services for consumption by internal teams.
Ensure data quality, integrity, and compliance with SLAs and financial reporting standards.
Collaborate with cross-functional stakeholders to define, evolve, and document billing data models and processing logic.
5+ years of experience in development of data-intensive backend systems.
Strong proficiency in Java (core language for streaming and backend processing).
Solid experience with ClickHouse (data modeling, query optimization, performance tuning).
Experience with Apache Kafka.
Hands-on experience with streaming frameworks like Apache Flink, Kafka Streams, Kafka Connect.
- Strong SQL skills applied to OLAP use cases including building complex aggregations, optimizing queries and data layouts for performance.
Good communication skills and experience collaborating in distributed international teams.
Advanced English level.
Experience designing Usage/Billing systems.
Experience with data quality frameworks.
Experience with managing data intensive infrastructure.
- Experience with Ruby on Rails framework.
This role requires relocation to Spain / Bulgaria.
Job Req ID: 2413
Top Skills
Workato New York, New York, USA Office
110 Wall Street #4-007, New York, NY, United States, 10005
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