Data Engineer I

American Express is seeking a Data Engineer I to help design, build, and maintain data platforms and end-to-end processing pipelines. This onsite position in Phoenix, AZ centers on leveraging cloud and big data technologies to support ETL, data modeling, and SQL-based data processing, enabling reliable and scalable data assets across the organization. The role offers a salary range of USD 78,000 to 124,750 per year and the chance to contribute within a collaborative, data-driven environment.

Requirements

• At least 6 months of software development experience.
• Foundational knowledge of cloud platforms such as Google Cloud Platform, AWS, or Azure, with exposure to services like Google Cloud Storage and BigQuery.
• Familiarity with Big Data technologies such as Spark, Scala, Hive, or SQL.
• Basic understanding of ETL concepts, data modeling, and data processing techniques.
• Experience with relational and/or NoSQL databases and SQL programming.
• Familiarity with Agile software development methodologies and the Software Development Life Cycle (SDLC).
• Basic understanding of CI/CD concepts and tools such as Git, Jenkins, Maven, or similar technologies.
• Working knowledge of version control systems and build automation tools.
• Basic understanding of web technologies (HTTP, REST APIs) and comfort with Linux/Unix environments.
• Solid programming fundamentals, including data structures, algorithms, and object-oriented programming concepts.
• Strong analytical, problem-solving, and debugging abilities.
• Excellent verbal and written communication skills with the ability to collaborate effectively in a team.
• Demonstrated curiosity, learning agility, and a proactive approach to continuous learning and process improvement.

Technologies

• Google Cloud Platform (GCP)
• AWS
• Azure
• Google Cloud Storage
• BigQuery
• Spark
• Scala
• Hive
• SQL
• Git
• Jenkins
• Maven
• REST APIs
• HTTP
• Linux/Unix
• NoSQL databases
• Power BI
• DAX
• Power Query

Benefits

• Competitive base salaries
• Bonus incentives
• 6% company match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors where available
• Free and confidential counseling support through the Healthy Minds program
• Career development and training opportunities

Good to Have

• Basic knowledge of Power BI for developing reports, dashboards, and data visualizations
• Familiarity with creating simple data models, metrics, and KPIs to support reporting and business analytics
• Working knowledge of DAX, Power Query, and SQL to develop interactive reports and perform basic data analysis
• Understanding of data modeling concepts and exposure to tabular or semantic models through projects or experience
• Basic troubleshooting and debugging skills for BI reports, datasets, and dashboards
• Familiarity with BI concepts, metadata management, and data governance principles
• Exposure to data visualization best practices and presenting insights clearly
• Strong analytical skills and an interest in using data to support business decisions
• Willingness to learn modern BI technologies and continuously improve technical and analytical skills
• Employment eligibility to work in the United States; visa sponsorship is not offered for these positions