Senior Data Engineer
•Abacusinsights· 4h
Data ScienceFull-timeAsia
4h ago
Montecarlodata·12 days ago
About Monte Carlo
As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.
Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.
The Platform & Data team is responsible for building and scaling Monte Carlo’s cloud services, data pipelines, and ML infrastructure. We operate at the core of the product, enabling reliable, scalable data observability for customers. The team is small, highly experienced, and moves quickly in a startup environment with high ownership and accountability.
We’re hiring Senior Backend Engineers to take significant ownership in building Monte Carlo’s cloud service, backend APIs, data pipelines, and ML platform.
This is a true end-to-end engineering role—from helping define requirements and technical direction to shipping and operating production-grade systems at scale. You’ll collaborate closely with experienced engineers in a fast-moving startup environment, owning major initiatives that directly impact customers and shape the long-term architecture of the platform.
Build and maintain production-grade backend services and APIs that power Monte Carlo’s core platform, owning projects from inception through deployment
Design and architect simple, flexible solutions and evolve them into scalable, reliable, observable, and performant distributed systems
Develop and maintain data pipelines supporting analytics, machine learning, and customer-facing features, collaborating closely with Product, ML, and Infrastructure partners
Act with urgency and a strong ownership mindset, treating problems as yours to solve end-to-end in a fast-paced environment
5+ years of experience delivering production-grade backend services and APIs
Strong mastery of Python or an equivalent backend language
Proven experience designing, building, and scaling distributed architectures
Experience operating backend systems in production with a strong sense of ownership, urgency, and customer focus
Experience with PySpark, data pipelines, and data-intensive or ML-driven systems
Familiarity with AWS and cloud-native services
Experience working on ML platforms or large-scale analytics systems
#LI-REMOTE
#BI-REMOTE
Come As You Are
Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are proud to be recognized for our world-class employee experience:
Monte Carlo Named to American's Most Loved Workplace List 2024
Monte Carlo Named an Inc. Best Workplace for 2024
Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024
Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024
Monte Carlo Named the 2025 Databricks Governance Partner of the Year
Monte Carlo #1 Data Observability Platform G2 for 8th Consecutive Quarters 2025
Beware of Imposter Recruiters and Job Scams
All official communication from our recruiting team will come from an @montecarlodata.com email address.
We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
We will never request payment for equipment, training, or application processing.
Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.
If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.