Data Engineer II

Mastercard is hiring a Data Engineer II. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Databricks.
Level classifies it as a mid-level role.
Level lists 1,100+ other open roles at Mastercard.

AI in this role

databricks

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Data Engineer II

Overview

The Open Finance Cloud Data Solutions team is looking for a Data Engineer II to help build and support scalable data products and platforms that power analytics, reporting, and business insights across Mastercard.

The ideal candidate is passionate about data, highly motivated, intellectually curious, analytical, and enjoys solving complex technical problems. This role will work closely with engineering, business intelligence, and business partners to deliver reliable, high-quality, and well-governed data solutions.

Role

In this position, you will:

- Design, develop, and support data pipelines and data products on modern cloud data platforms.
- Partner with engineering, BI, and business teams to understand requirements and deliver scalable data solutions.
- Build and maintain data transformations, data models, and reporting datasets.
- Monitor, troubleshoot, and improve the performance and reliability of production data processes.
- Contribute to data governance, data quality, and documentation standards.
- Participate in code reviews and support engineering best practices across the team.
- Continuously identify opportunities to improve processes, tools, and data capabilities.

All About You

The ideal candidate for this position should:

- Have experience developing and supporting data pipelines and data transformations.
- Possess strong SQL and data modeling skills.
- Be familiar with cloud-based data platforms and tools such as Databricks, Snowflake, dbt, Spark, or similar technologies.
- Have an understanding of data warehousing, data governance, and data quality concepts.
- Be skilled at troubleshooting technical problems and delivering sustainable solutions.
- Be a strong communicator who can work effectively with technical and non-technical stakeholders.
- Be self-motivated, curious, and eager to learn new technologies and approaches.
- Always look for opportunities to improve processes and deliver better outcomes for customers and partners.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

How we rate this

Data Engineer II at Mastercard rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.