Data Engineer (Remote - US)
Job Description
Monte Carlo is seeking a Data Engineer to join their team in a remote capacity within the United States. This role is crucial for building and scaling data pipelines that power critical product features and analytics. The position offers an opportunity to work with modern cloud technologies and collaborate across teams to ensure high-quality, reliable data solutions. The ideal candidate will have 5+ years of experience in building production-grade data pipelines and possess strong expertise in Python and SQL. The role offers competitive compensation ranging from $180K to $220K, comprehensive benefits including healthcare coverage, 401(k), equity participation, and various stipends for wellness and home office setup. The position emphasizes a remote-first culture with flexibility in work arrangements, making it ideal for someone who values work-life balance while contributing to meaningful data engineering challenges. The role combines technical expertise with business impact, offering opportunities to influence internal practices and product development while working in a collaborative, fast-paced environment.
Responsibilities For Data Engineer (Remote - US)
- Design, build, and maintain scalable, high-performance data pipelines and orchestration workflows
- Ingest, transform, and process raw data into clean, usable datasets for analytics and model training
- Preprocess metrics and metadata to support anomaly detection, lineage, and other data models
- Collaborate with Data Science and Analytics teams to productionize models and dashboards
- Continuously improve pipeline reliability, leveraging internal usage of the platform
- Manage and create data platform resources, including database objects and cloud infrastructure
- Participate in code reviews, documentation, and best practices for data engineering
Requirements For Data Engineer (Remote - US)
- 5+ years of experience building production-grade data pipelines and backend services
- Strong expertise in Python and SQL; familiarity with PySpark is a plus
- Experience with cloud platforms, particularly AWS, and distributed architectures
- Hands-on experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
- Knowledge of pipeline orchestration tools (Airflow, Spark) and IaC solutions (Terraform, CloudFormation)
- Strong ownership mindset, urgency, and customer-focused problem-solving approach
- Ability to collaborate effectively across teams and communicate technical concepts clearly
Benefits For Data Engineer (Remote - US)
- Competitive salary: $180K–$220K, based on experience and location
- Equity participation in the company's stock option program
- Comprehensive healthcare plans, including medical, dental, and vision coverage
- 401(k) retirement plan
- Wellness and home office stipends
- Cell phone or Wi-Fi reimbursement
- Paid parental leave and flexible time off
- Generous travel policy and support for professional growth opportunities
- Remote-first role, with flexibility in work arrangements
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