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Data Engineer

Data Engineer

locationSunrise, FL, USA
PublishedPublished: 10/20/2024
Engineering
Full Time

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

The GSG Automation Digital Operations and Support team supports the automations post deployment to production. This role will build significant value to our customers and internal teams by developing the foundation of our next generation reports and driving actionable business recommendations. The successful candidate will identify key opportunities around production oversight, operations management, and the development and maintenance of our GSG Digital Workforce. We are a team made up of data-minded individuals who synthesize data, build predictive models, and conduct advanced analytics to improve customer performance.

How will you make an impact in this role?

  • Deliver a streamlined set of reporting tools that provide automation performance insights and enable direct follow-up action
  • Understand data structure, detect patterns, spot anomalies, test hypotheses, and check assumptions through descriptive statistics and graphical representations using Exploratory Data Analysis
  • Understand automation platform infrastructure / architecture and reporting frameworks to analyze process anomalies, identify gaps, and increase business value and performance
  • Partner with operations, product owners, technology teams, and operational partners to provide advanced data analysis and outstanding customer service
  • Regularly engage with business teams and tech teams to understand their needs or processes and operationalize a framework for deploying data models for servicing our customers
  • Identify opportunities to conduct UX research and generate value for the business
  • Test and deploy data models in production environment and regular maintenance of production variables
  • Engage with diverse teams to determine the most meaningful questions to ask of our data

Minimum Qualifications

  • Knowledge and experience with SQL and Python
  • Experience in Big Data environments (Lumi/Cornerstone) and working with Non-Relational Databases
  • Strong quantitative, analytical, and structured problem-solving skills and experience applying them to solve business problems
  • Experience performing exploratory data analysis to drive business value or meet a goal
  • Ability to excel as a team player in a fast-paced, complex, ambiguous and agile business environment
  • Ability to prioritize well, communicate clearly and compellingly, and understand how to drive a high level of focus and excellence
  • Creativity and curiosity, with an appetite to learn
  • Excellent listening and communication skills; able to forge constructive relationships with partners from a variety of backgrounds and geographics

Preferred Qualifications

  • Proven ability to work with and analyze large data sets, including 3-5 years programming experience in SQL, Python and HQL or equivalent preferred
  • Experience with various automation tools and frameworks including ACE, Blue prism
  • Experience with data visualization tools such as Kibana, Tableau or Power BI
  • Experience with new emerging techniques machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions a plus

Salary Range: $85,000.00 to $150,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • 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 (depending on location) 
  • Free and confidential counseling support through our Healthy Minds program 
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

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.

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If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.

Non-considerations for sponsorship:
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for this position.