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# Data Engineer

- **Company:** Verita AI LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $187,200.0 - $260,000.0
- **Contract:** Temporary contract
- **Skills:** Test Suite, Artificial Intelligence, Airflow, Data Analysis, BigQuery, Directed Acyclic Graph (Directed Graphs), Data Architecture, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Software Debugging, Query Optimization, Workflow Management Systems, Snowflake, Amazon Redshift, Databricks
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6199f99ee5afb545

## About the Role

Do you have experience in Data validation?, * 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

Preferred backgrounds include:

 * Analytics Engineering
 * Data Infrastructure
 * Platform/Data Tooling

## Description

We are hiring experienced Data Engineering Experts to help train and evaluate AI systems on real-world analytics engineering and data infrastructure workflows.
This work focuses heavily on modern data stack tooling, particularly dbt and Airflow, and requires individuals who can reason through complex data engineering scenarios with precision and clarity.

You will help create, review, and evaluate realistic workflows spanning data transformation, orchestration, warehouse design, testing, and analytics engineering best practices.

This is a high-focus, project-based engagement best suited for experienced practitioners who are comfortable working independently and communicating technical reasoning clearly.

What You'll Work On:
You may be asked to build, review, or evaluate scenarios involving:
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, * Engagement duration: approximately 2-3 weeks initially, with potential extensions based on project needs and performance
 * Immediate onboarding available for qualified candidates
 * Fully remote and asynchronous


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