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Remote Senior Data Engineer / Analytics Engineer (India-Based) - AI Trainer ($35-$70 per hour)
Remote Senior Data Engineer / Analytics Engineer (India-Based) - AI Trainer ($35-$70 per hour)Mercor • Alexandria, Virginia, US
Remote Senior Data Engineer / Analytics Engineer (India-Based) - AI Trainer ($35-$70 per hour)

Remote Senior Data Engineer / Analytics Engineer (India-Based) - AI Trainer ($35-$70 per hour)

Mercor • Alexandria, Virginia, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [filters.remote]
[job_card.job_description]

Mercor is partnering with a cutting-edge AI research lab to hire a

  • Senior Data / Analytics Engineer
  • with expertise across
  • DBT
  • and
  • Snowflake’s Cortex CLI
  • . In this role, you will build and scale Snowflake-native data and ML pipelines, leveraging Cortex’s emerging AI / ML capabilities while maintaining production-grade DBT transformations. You will work closely with data engineering, analytics, and ML teams to prototype, operationalise, and optimise AI-driven workflows—defining best practices for Snowflake-native feature engineering and model lifecycle management.This is a high-impact role within a modern, fully cloud-native data stack.
  • ##
  • 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
  • , enabling : - Feature engineering pipelines - Model training & inference tasks - Automated pipeline orchestration - Monitoring and evaluation of Cortex-driven ML models - Establish best practices for
  • DBT–Cortex architecture and usage patterns
  • . - Collaborate with data scientists and ML engineers to
  • produce Cortex workloads
  • in Snowflake. - Build and optimise
  • CI / CD pipelines
  • for dbt (GitHub Actions, GitLab, Azure DevOps). - Tune Snowflake compute and queries for
  • performance and cost efficiency
  • . - Troubleshoot issues across DBT arti-facts, Snowflake objects, lineage, and data quality. - Provide guidance on
  • DBT project governance, structure, documentation, and testing frameworks
  • ##
  • Required Qualifications
  • 3+ years
  • experience with
  • DBT Core or DBT Cloud
  • , including macros, packages, testing, and deployments. - Strong expertise with
  • Snowflake
  • (warehouses, tasks, streams, materialised 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
  • ##
  • Nice-to-Have Skills
  • Prior experience operationalising
  • 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
  • ##
  • Why Join
  • You will be an
  • hourly contractor through Mercor
  • , working
  • 20–40 hours per week
  • with flexibility. - Direct opportunity to build
  • next-generation Snowflake AI / ML systems
  • with Cortex. - High-impact ownership of DBT and Snowflake architecture across production pipelines. - Work alongside top-tier ML engineers, data scientists, and research teams. - Fully remote, high-autonomy environment focused on innovation, velocity, and engineering excellence.
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Senior Data Engineer • Alexandria, Virginia, US

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