> Markdown version of [/jobs/ext/2691534-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/2691534-data-engineer-ii). 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 II - **Company:** IntraEdge, Inc. - **Location:** United States - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, BigQuery, Cloud Storage, Continuous Integration, Data Governance, Database Design, Github, Apache Hive, Python (Programming Language), Standard Sql, Cloudera, Google Cloud, Data Ingestion, Pyspark, Data Management - **Published:** September 3, 2026 - **Apply:** https://jobs.intraedge.com/jobdetails.asp?jo_num=20596&apply=yes& ## About the Role * Experience building, deploying, supporting data ingestion and batch applications on Cornerstone / Google Cloud / LUMI using capabilities such as BigQuery, Cloud Storage, Dataproc, Cloud Composer/Airflow. * Strong SQL, Python, PySpark, Hive * Must have good knowledge of data management principles, data governance and database design concepts * Internal Amex experience with Cornerstone/Lumi * Strong understanding of governance processes * Strong Data Analysis skills * Clear and effective communicator * Strong collaborator with multiple business and technology teams * Preferred hands-on experience with CI/CD tools such as XLR, GitHub Actions * Able to guide technical teams for delivery across time zones * Prior experience in American Express Technology is a SIGNIFIC ## 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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)