Senior Data Engineer
About The Position
Senior Data Engineer Who is Mastercard? We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. What is the AI Ops team? The AI Ops team uses AI, machine learning, and data science techniques to detect anomalies, predict impact, and initiate remediation. The team creates insights—in the form of dashboards, reports, and alerts—from operations data and helps stakeholders make data-driven decisions for planning, troubleshooting, or monitoring application health. Overview The Senior Data Engineer for AI Ops designs, builds, and operates analytics and data engineering solutions that provide operational visibility, insight, and proactive intelligence across enterprise infrastructure, applications, and services. This role focuses on integrating data from diverse operational sources, enabling high-quality dashboards and metrics, and supporting AI-driven operational use cases that improve reliability, performance, and decision-making.
Requirements
- Analytical, investigative and problem-solving skills
- Strategic thinker with ability to derive and translate data analytics to meet business goals
- Sound written and verbal communication skills
- Project management skills, highly organized with strong attention to detail
- Must be able to work independently in developing and mapping out solutions
- Must be able to work in a fast paced and dynamic environment, handle multiple tasks, consistently meet established deadlines, and deliver exceptional results
- Strong experience in data engineering and analytics, working with structured, semi-structured, and unstructured data.
- Hands-on experience with ETL and workflow orchestration tools such as Alteryx, NiFi, Airflow, or equivalent.
- Proven ability to build dashboards and visualizations using Power BI, Grafana, or similar tools.
- Solid understanding of data quality, monitoring, and operational resilience.
- Strong analytical, problem-solving, and communication skills, with the ability to translate complex data into actionable insights.
- Experience collaborating across technical and business teams in an operational or enterprise environment.
Responsibilities
- Design, build, and maintain scalable ETL and data pipelines using tools such as Alteryx, Apache NiFi, Apache Airflow, or similar technologies.
- Integrate and normalize data from multiple operational sources, including monitoring platforms, incident and ticketing systems, SLA/SLO reports, surveys, and enterprise data stores.
- Develop and maintain analytics and visualizations using tools such as Power BI, Grafana, and related platforms to deliver operational, management, and executive-level insights.
- Ensure data quality, consistency, and reliability through validation, monitoring, and continuous improvement of data pipelines.
- Translate operational and business questions into measurable indicators, metrics, and dashboards that clearly communicate current state, risks, trends, and improvement opportunities.
- Support incident analysis, root cause investigations, and operational reviews through data-driven insights.
- Partner with AI Ops, SRE, infrastructure, and software engineering teams to operationalize analytics and enable advanced automation and AI/ML use cases.
- Create and maintain technical documentation, operational procedures, and best practices to support governance, scalability, and reuse.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
