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.
About the TeamThe Data team’s mission is to simplify and automate customer workflows through data science and analytics. We’re core to Monte Carlo’s value proposition and partner closely with Product, Engineering, and Data Science.
About the RoleAs a Data Engineer, you will build, orchestrate, and scale the pipelines that power Monte Carlo’s product features (anomaly detection, resolution, lineage). You will also be an internal customer of Monte Carlo, using the product to improve our own pipelines — and shaping product feedback in the process.
Key ResponsibilitiesIngest and transform raw customer data into usable, high-quality datasets.
Design, build, and maintain scalable data pipelines and orchestration workflows.
Preprocess metrics and metadata for anomaly detection and lineage models.
Collaborate with Data Science/Analytics to productionize models and dashboards.
Continuously improve pipeline reliability by dogfooding Monte Carlo.
Manage and create data platform resources (database objects, AWS resources).
5+ years building production-grade data pipelines and backend services
Strong Python & SQL expertise (PySpark a plus)
Familiarity with AWS technologies
Experience with modern data warehouses (Snowflake, BigQuery, Redshift).
Experience with distributed architectures
Ownership mindset, urgency, and customer focus
Experience with Spark and Airflow.
Experience with IaC solutions on AWS, Databricks and Snowflake (Terraform, Cloudformation)
#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.
What the Team is Saying
Monte Carlo Compensation & Benefits Highlights
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Healthcare Strength — Extensive health coverage includes medical, dental, vision, life and disability insurance, wellness programs, and mental health support. The breadth of coverage aligns with comprehensive tech-industry offerings.
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Leave & Time Off Breadth — Unlimited PTO is paired with paid holidays, sick time, and bereavement leave. Generous parental leave is also highlighted as part of the overall time-off framework.
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Equity Value & Accessibility — Company equity is included alongside core compensation. This provides long‑term upside potential as part of the total rewards package.
Monte Carlo Insights
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What We Do
As businesses increasingly rely on data and AI to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data + AI observability leader, is the creator of the industry's first end-to-end Data & AI Observability platform. Our mission is to enable the world's enterprises to adopt trusted AI. In 2025, Monte Carlo launched Agent Observability — the first capability to unify observability across both data and AI stacks in a single platform — enabling teams to monitor, trace, and troubleshoot enterprise AI agents in production. A Forrester Total Economic Impact study found that Monte Carlo delivers a 358% return on investment. Recognition and awards: Named a CBInsights AI100 company and the "New Relic for data" by Forbes. G2 #1 Data Observability Platform for eight consecutive quarters. G2 Best Software Product of 2026. 2025 Databricks Data Governance Partner of the Year. DBTA Readers Choice for Best Data Observability Solution 2024 and DBTA Trend-Setting Product for 2025. We've raised $236M from Accel, ICONIQ Growth, Redpoint Ventures, IVP, and Salesforce Ventures. Data-driven companies like NASDAQ, Honeywell, Roche, Fox, American Airlines, and PepsiCo trust Monte Carlo to deliver reliable data and AI at scale.
Why Work With Us
A Built In 2026 Best Place to Work, Inc. Best Workplace 2024, and Newsweek Most Loved Workplace. We're remote-first, solving one of the biggest problems in the AI era: trust. We build fast, ship bold, and have a great time doing it. Come help the world adopt trusted AI.
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Employees work remotely.
