Data Engineer II

Mastercard; Helena (MT); On-site; USD 90,000 - 130,000; Full time

Job summary

Mastercard is seeking a Data Engineer II for the T&L Data Delivery team to design, implement, and maintain enterprise ETL processes for a global client base. You will optimize SQL queries and collaborate with engineers to deliver robust data solutions across multiple industries.

The role requires strong data modeling, experience with Databricks/Spark, and comfort working across time zones with global teams. Mastercard offers opportunities in a fast-paced, secure tech environment.

Qualifications

• BE/BTech in a quantitative field; ME/MTech preferred.
• Excellent English quantitative, technical, and communication (oral/written) skills.
• Experience as a Data Engineer or in a similar role with data modeling and scalable data solutions.
• Strong knowledge of writing and optimizing SQL queries to retrieve and analyze data.
• Experience with Relational Databases (RDBMS) and Microsoft SQL Server.
• Familiarity with ETL frameworks and building data pipelines.

Responsibilities

• Design, implement, and maintain enterprise ETL processes for data platforms across a global client base.
• Collaborate with Data Engineers and Analysts to support on-time, high-value data solutions.
• Use SQL and related technologies to optimize data processing and build scalable code.
• Apply industry best practices such as version control, code reviews, and data validation.
• Design streamlined processes to automate routine data tasks.
• Build trust-based relationships with peers and clients across local and global teams.

Skills

SQL optimization

SQL queries

Data modeling

ETL frameworks

Databricks / Spark

Data pipelines

Communication

Education

BE/BTech or ME/MTech in quantitative field

Tools

Microsoft SQL Server

Relational Databases

Databricks

Job description

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 IIData Engineer, DPO

Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

T&L Data Delivery team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology Team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions.

Role

Data Engineer II will:

• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors.
• Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets.
• Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
• Participate in efforts to design streamlined processes to automate routine data tasks.
• Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel.
• Comply and uphold all MasterCard internal policies and external regulations

All about you:

• BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred
• Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener
• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
• Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies.
• Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines.
• Experience with Databricks and Spark is a plus.
• Demonstrate curiosity about emerging developer productivity tools (e.g., GitHub Copilot); prior experience is not required, but a willingness to learn and experiment is highly valued.
• Demonstrate skills in the ability to innovate, think critically and disaggregate problems.
• Able to handle tasks on multiple projects and differing project priorities
• Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
• Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Flexible to work with global offices across several time zones

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.