> Markdown version of [/jobs/ext/1949231-senior-data-engineer-us-citizen](https://www.wearedevelopers.com/jobs/ext/1949231-senior-data-engineer-us-citizen). 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). --- # Senior Data Engineer- US Citizen - **Company:** VYTWO TECHNOLOGIES INC. - **Location:** Prosper, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Batch Processing, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Database Queries, Performance Tuning, Apache Spark, Git, Data Lakes, Pyspark, Software Version Control, Data Pipelines, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.wayup.com/i-j-Senior-Data-Engineer-US-Citizen-Vytwo-802955289015396/ ## About the Role 5+ years of experience in Data Engineering or related roles Strong hands-on experience with Apache Spark (PySpark or Scala) Proven experience working in Databricks environments Strong SQL skills and experience with relational and analytical databases Experience building and maintaining ETL/ELT pipelines at scale Familiarity with modern data lake architectures (Delta Lake preferred) Experience with Git-based version control Must be a US Citizen Flexible work from home options available. ## Description Design, develop, and maintain scalable data pipelines using Apache Spark (PySpark and/or Scala) Build and optimize data workflows on Databricks, including Delta Lake, notebooks, and scheduled jobs Ingest, transform, and curate large-scale structured and semi-structured datasets Perform performance tuning and cost optimization of Spark workloads and Databricks clusters Implement data quality checks, monitoring, and error handling Collaborate with analytics and business stakeholders to deliver well-modeled, analytics-ready data Support batch processing and, where applicable, streaming data pipelines Follow best practices for testing, documentation, security, and version control ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How Many Jobs Are Available in Technology?](https://www.wearedevelopers.com/magazine/450-how-many-jobs-are-available-in-technology)