> Markdown version of [/jobs/ext/1712527-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/1712527-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:** American Express Company - **Location:** Phoenix, AZ, United States - **Salary:** $89,250.0 - $150,250.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Big Data, Databases, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Working Model 2D, Data Management, Cloud Optimization, Data Pipelines, Programming Languages - **Published:** July 28, 2026 - **Apply:** https://www.juju.com/job/00000000gk6loe ## About the Role + Foundational knowledge of data engineering concepts, including data pipelines, ETL/ELT processes, and structured data management. + Strong analytical and problem-solving skills, with the ability to work with large datasets and support data-driven decision-making. + Strong data modeling skills. Apptio Cloudability and Apptio TBM a plus + Proficiency with data visualization and reporting tools such as Power BI or Tableau. + Demonstrated knowledge of database management systems and related ecosystems + Experience in SQL and Python (or other similar programming languages) + Experience with Agile methodologies is desirable + Ability to effectively prioritize and manage multiple tasks and projects with competing deadlines + Ability to adapt to changing priorities and business needs while maintaining focus on key objectives. + Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. ## Description + Build, maintain, and optimize data pipelines and workflows that support cloud financial management, reporting, and analytics use cases. + Design and support data models, transformations, and datasets that enable accurate, timely, and scalable dashboarding and self-service reporting. + Partner with Finance, Engineering, Product, and analytics stakeholders to translate business needs into effective data solutions. + Develop and support dashboards, curated datasets, and recurring data products delivered to end users on a consistent cadence. + Maintain and enhance data infrastructure that supports both internal analytics and customer-facing or self-service access patterns. + Contribute to automation initiatives that improve data quality, operational efficiency, and the reliability of reporting processes. + Apply best practices in data engineering, governance, and cloud cost data management to continuously improve platform capabilities. + Support data integration and cost attribution solutions by working closely with engineers, analysts, and business partners across the organization., We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [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) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)