Data Engineer II

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
Senior level
Fintech • Financial Services
The Role
Design, build, and operate Digital Data Platform pipelines and DataOps capabilities. Implement ETL/ELT, streaming, API integrations, data quality, governance, security, and self-service access using Python, SQL and GCP services. Collaborate with stakeholders to document requirements, test and troubleshoot data processes, and enable analytics and BI consumption.
Summary Generated by Built In

Digital Data Platform is focused on managing data collected from all digital experiences at Amex. We enable business to gain deep customer insights by enabling advanced analytics capabilities to track and analyze customer interactions across digital channels. Our goal is to ensure digital data complies with data governance principles and privacy regulations while it is leveraged across the enterprise.

Responsibilities

The position of Engineer will be on a dynamic and growing team within the Digital Data Platform team part of Architecture As Code organization at American Express.

  • 5-8 years of DataOps engineering experience in implementing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access
  • Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation.
  • ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts
  • Proficiency in API development and stream processing frameworks
  • Working proficiency in AI/ML and familiarity GenAI & Agent AI.


  • GCP Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub and Cloud Composer.


  • Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes
  • Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible, and flexible logical data models, data visualization tools (e.g. PowerBI, Apptio BI)
  • Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
  • Experience in data quality and QA testing methodologies
  • Fluent in data risk, management, and compliance terminology and best practices
  • Proven track record for managing large, complex ecosystems with multiple stakeholders
  • Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
  • An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape.
  • Excellent collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
  • Understanding of complex software delivery including build, test, deployment, and operations; conversant in Data Science, and Business Intelligence concepts and technology stack
  • Exposure to distributed (multi-tiered) systems, algorithms, IT asset management, cloud services, and relational databases
  • Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
  • Experience working in technology business management, technology infrastructure or data visualization teams a plus
  • Experience with design and coding across multiple platforms and languages a plus
Qualifications

Minimum Qualifications

  • Bachelor’s degree in computer science, computer science engineering, data engineering, or related field required.

Preferred Qualifications

  • Advanced degree preferred: Master degree in computer science, computer science engineering, data engineering, or related field required. 
About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About the Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • 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

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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Skills Required

  • Bachelor's degree in computer science, data engineering, or related field
  • 5-8 years of DataOps engineering experience implementing pipeline orchestration, data quality, governance, and security
  • Strong proficiency in Python for data processing and manipulation
  • Strong proficiency in SQL and ability to write efficient queries for relational databases and data warehouses
  • Experience with ETL/ELT processes and data warehousing concepts
  • Proficiency in API development and stream processing frameworks
  • Working proficiency in AI/ML and familiarity with GenAI and Agent AI
  • Hands-on experience with GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer
  • Experience in data quality and QA testing methodologies; ability to test, troubleshoot, and debug data processes
  • Fluent in data risk, management, and compliance terminology and best practices
  • Proven track record managing large, complex ecosystems with multiple stakeholders
  • Self-starter with strong problem-solving, organization, and documentation skills
  • Familiarity with data visualization tools (e.g., PowerBI, Apptio BI) and BI concepts
  • Foundational public cloud certification (AWS, GCP, or Azure)
  • Advanced degree (Master's) in computer science, data engineering or related field
  • Experience in technology business management, infrastructure, or data visualization teams
  • Advanced public cloud certifications and experience with design/coding across multiple platforms and languages

American Express Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.

  • Healthcare Strength Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
  • Retirement Support Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
  • Leave & Time Off Breadth Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.

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The Company
HQ: New Delhi, Delhi
100,703 Employees
Year Founded: 1850

What We Do

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

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