> Markdown version of [/jobs/ext/2297065-data-engineer](https://www.wearedevelopers.com/jobs/ext/2297065-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** VRN Technologies - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Database, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Performance Tuning, SQL Databases, Workflow Management Systems, Google Cloud, Snowflake, Data Build Tool (dbt), Git, Software Version Control, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://www.dice.com/job-detail/fe919280-ee72-4538-860b-97414f7c448d ## About the Role · 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on experience with Snowflake for cloud data warehousing. · Strong experience with dbt (Data Build Tool) for data transformation, modeling, testing, and documentation. · Proficiency in SQL and experience developing complex queries and data transformations. · Experience building and maintaining ETL/ELT pipelines. · Strong understanding of dimensional data modeling, star/snowflake schemas, facts, and dimensions. · Experience with Python for data processing and automation. · Experience with Git-based version control and CI/CD practices. · Knowledge of data quality, data validation, testing, and performance optimization. · Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. · Familiarity with orchestration tools such as Airflow, Dagster, or similar is preferred. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)