Senior Data Engineer jobs in United States
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Bespoke Labs · 2 days ago

Senior Data Engineer

Bespoke Labs is seeking a skilled Data/Analytics Engineer with hands-on experience using dbt and Snowflake's Cortex CLI. The role involves designing, developing, and optimizing data workflows while collaborating with various teams to ensure scalable model development and define best practices for using dbt in a modern Snowflake-native stack.

Computer Software
Hiring Manager
Ahmed Riaz
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Responsibilities

Design and build dbt models, macros, and tests aligned with modern data modeling practices (e.g., modular, source freshness, semantic layers)
Integrate dbt workflows with Snowflake Cortex CLI, including:
Feature engineering pipelines
Model training & inference tasks
Pipeline orchestration and automation
Evaluation and monitoring of Cortex models
Define and document best practices for dbt–Cortex usage patterns
Collaborate with data scientists and ML engineers to operationalize Cortex workloads in Snowflake
Implement CI/CD pipelines for dbt projects (GitHub Actions / GitLab / Azure DevOps)
Optimize queries and Snowflake compute usage for cost and performance efficiency
Troubleshoot and debug dbt artifacts, Snowflake objects, lineage, and data quality issues
Provide guidance on dbt project structure, governance, and testing frameworks

Qualification

Dbt CoreDbt CloudSnowflake expertiseSnowflake Cortex CLISQL proficiencyPython familiarityOrchestration tools integrationModern data engineering workflowsMLOpsDataOps knowledgeSemantic layers with dbt

Required

3+ years of experience with dbt Core or dbt Cloud, including macros, packages, testing, documentation, and deployments
Strong expertise with Snowflake (warehouses, tasks, streams, materialized views, performance tuning)
Hands-on experience with Snowflake Cortex CLI or willingness and ability to quickly ramp up on Cortex features
Proficiency in SQL and familiarity with Python as used in dbt and scripting
Experience integrating dbt with orchestration tools (Airflow, Dagster, Prefect, etc.)
Strong understanding of modern data engineering workflows, ELT patterns, and version-controlled analytics development

Preferred

Prior experience operationalizing ML workflows inside Snowflake
Familiarity with Snowpark and Python UDFs/UDFs
Experience building semantic layers using dbt metrics
Knowledge of MLOps or DataOps best practices
Exposure to LLM use cases, vector search, and unstructured data pipelines

Company

Bespoke Labs

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Funding

Current Stage
Early Stage
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