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

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.