Data Engineer (Remote - US) - job 1 of 7

This position is posted by Jobgether on behalf of Monte Carlo. We are currently looking for a Data Engineer in United States.

As a Data Engineer, you will play a key role in building and scaling data pipelines that power critical product features and analytics. You will work closely with cross-functional teams to ensure high-quality, reliable, and actionable data across the organization. This role involves designing robust ETL processes, optimizing data workflows, and supporting model productionization to drive business insights. You will leverage modern cloud technologies to deliver scalable solutions while continuously improving reliability and performance. With opportunities to influence internal practices and provide feedback for product development, your work will directly impact both internal operations and customer-facing analytics. The ideal candidate thrives in a collaborative, fast-paced environment where innovation and data-driven decision-making are core.

Accountabilities

·         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 to identify enhancements.

·         Manage and create data platform resources, including database objects and cloud infrastructure.

·         Participate in code reviews, documentation, and best practices for data engineering.

·         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) preferred.

·         Strong ownership mindset, urgency, and customer-focused problem-solving approach.

·         Ability to collaborate effectively across teams and communicate technical concepts clearly.

·         Competitive salary: $180K–$220K, with final compensation 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, as well as 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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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