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# Data Engineer

- **Company:** Vanta Incorporated
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $190,000.0 - $224,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, BigQuery, Data Dictionary, Information Engineering, Data Systems, Data Warehousing, Blockchain, Software Engineering, SQL Databases, Snowflake, Terraform
- **Published:** July 8, 2026
- **Apply:** https://jobs.ashbyhq.com/vanta/7600575b-fb06-485e-bc13-626e661a34aa

## About the Role

* Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.

 * Have experience with common analytics tooling (e.g. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster).
 * Have good working knowledge of AWS data infra systems and Terraform.

 * Bring a system-oriented and software engineering mindset to the Data Engineering practice. We're looking to build frameworks that manage data, and minimize bespoke queries

 * Deep knowledge of crafting dimensional and fact models in modern data fashion
 * Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.

 * Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing
 * Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

## Description

As a Data Engineer, you'll be responsible for laying the foundation for a best-in-class analytics function. You'll partner closely with our engineering team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.

Visit our Vanta Engineering Blog to learn more about what our team is working on!

What you'll do as a Senior Data Engineer at Vanta:

 * Design and deploy data infrastructure needed to drive data-driven decision-making solutions

 * Design and implement complex data orchestration models, modeling metadata, scaling reporting tools for data science and ML products users

 * Be the company's expert on data administration, data management and scalable data systems

 * Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses

 * Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise
 * Help maintain CDC pipelines to power customer reporting, Lead architecture and implementation of scalable batch and streaming ETL/ELT pipelines, data services, and graph-serving models for Observability & Insights. Own technical strategy, drive performance and cost improvements, enforce data governance and observability, lead cross-team initiatives, participate in on-call and incident follow-through, and partner with product and engineering to deliver low-latency graph exploration at extreme scale.
Top Skills: AirflowAWSAzureCassandraClaude CodeCqlCursorDatadogDbtFlinkGCPGithub CopilotGrafanaInfrastructure-As-CodeKubernetesPrometheusSnowflakeSparkSQL
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