Senior Data Engineer
About the job
Location
United States
Employment Type
Full time
Location Type
Remote
Department
SPEDD (Security, Product, Engineering, Design, Data)Engineering
Compensation
- $180K – $220K • Offers Equity
Final compensation will be determined based on skills, experience, and location.
At Monte Carlo, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the targeted salary for this role may be adjusted.
This role is also eligible to participate in Monte Carlo's Equity and Benefits offering, including the following:
Stock Options
Healthcare plans
401k Retirement Plan
Wellness Stipend
Home Office Stipend
Cell Phone or WIFI reimbursement
Paid Parental Leave
Flexible Time Off
Generous Travel Policy
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 Team
The 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 Role
As 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 Responsibilities
Ingest 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).
Required Qualifications
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
Preferred Qualifications
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
Compensation Range: $180K - $220K
