Data Engineer

Job Description

REQUIREMENTS

• 3+ years of professional experience in data engineering or analytics engineering
• Strong experience with dbt and Airflow
• Experience working with modern cloud warehouses such as Snowflake, BigQuery, Redshift, or Databricks
• Familiarity with data quality testing and validation workflows
• Comfortable reading and producing technical artifacts including DAGs, dbt models, schema docs, and test suites
• Strong written communication skills and attention to detail
• Able to work independently and maintain high-quality output

RESPONSIBILITIES

Pipelines & Transformations

• ETL/ELT workflows
• dbt model development
• Incremental model logic and watermark handling
• Structured output table generation

Orchestration & Reliability:

• Airflow or Dagster DAG design
• Workflow orchestration logic
• Data quality monitoring
• Test suite validation and debugging

Warehouse & Analytics Engineering:

• Schema and data contract design
• Query optimization and performance tradeoffs
• Warehouse modeling across Snowflake, BigQuery, Redshift, or Databricks
• Analytics-focused data architecture decisions

AI Evaluation & Reasoning:

• Reviewing AI-generated technical outputs for correctness
• Explaining engineering reasoning step-by-step
• Converting workflows into structured evaluation tasks
• Providing detailed feedback to improve model performance

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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