Mastercard

Financial Services

SeniorDataEngineer

$132–212k Arlington, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Mastercard. Skills: Data engineering, Data warehousing, ETL/ELT. Design, build, and maintain scalable data pipelines. Develop and optimize data models and database schemas”

What You'll Achieve.

Improve data accessibility; Enhance data processing efficiency; Support data-driven decision-making

Industry & Context.

Financial Services
Problems you'll solve

Root cause analysis; Troubleshooting; Analytical thinking

What They're Looking For.

Must Have

5+ years of experience in data engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Engineering, or related field

Nice to Have

Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with ETL/ELT tools (e.g., Airflow, dbt), Experience with big data technologies (e.g., Spark, Hadoop), Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with BI tools (e.g., Tableau, Power BI, Looker), Experience with CI/CD and DevOps practices, Experience with data modeling and database design, Experience with Python or Scala for data engineering

What You'll Do.

and maintain scalable data pipelines

Develop and optimize data models and database schemas

Implement and manage ETL/ELT processes

Collaborate with data scientists and analysts to support

Build and maintain data infrastructure on cloud platforms

Monitor and troubleshoot data systems

Automate data processes and workflows

Contribute to the development of data governance policies

Stay up-to-date with emerging data technologies

How You'll Work.

Team & Collaboration

Cross-functional teams; Data scientists; Analysts; Product managers

Communication Scope

Technical documentation; Presentations

Process & Methodology

Agile methodologies, Scrum

Full 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** ### Senior Data Engineer ### Overview: Mastercard Services Technology is seeking a Senior Data Engineer to contribute to the data management aspects of client engagements for Test & Learn and other Services products. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients. This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite. Role: \- Independently lead parallel projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base. \- Act as an expert technical resource within the team and region \- Deliver 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. \- Partner with analytics and business stakeholders to understand business questions and transl

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