Sr. Data Engineer - AI/ML

About The Job

Mercor

Benchmark

General Catalyst

Peter Thiel

Adam D'Angelo

Larry Summers

Jack Dorsey

Position:

Type:

Hourly contractor

Compensation:

$35$70/hour

Location:

Remote

Commitment:

2040 hours/week

Role Responsibilities

• Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices.
• Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models.
• Establish best practices for DBTCortex architecture and usage patterns.
• Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake.
• Build and optimize CI/CD pipelines for DBT using GitHub Actions, GitLab, and Azure DevOps.
• Tune Snowflake compute and queries for performance and cost efficiency.
  

Qualifications

Must-Have

• 3+ years experience with DBT Core or DBT Cloud, including macros, packages, testing, and deployments.
• Strong expertise with Snowflake (warehouses, tasks, streams, materialized views, performance tuning).
• Hands-on experience with Snowflake Cortex CLI, or strong ability to learn it quickly.
• Strong SQL skills; working familiarity with Python for scripting and DBT automation.
• Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.).
• Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development.
  

Preferred

• Prior experience operationalizing ML workflows inside Snowflake.
• Familiarity with Snow-park, Python UDFs/UDTFs.
• Experience building semantic layers using DBT metrics.
• Knowledge of MLOps / DataOps best practices.
• Exposure to LLM workflows, vector search, and unstructured data pipelines.
  

Application Process (Takes 2030 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form
  

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [HIDDEN TEXT]