Mastercard

Financial Services

LeadDataEngineer

$122–207k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer at Mastercard. Skills: Data modeling, Data pipelines, Snowflake, Power BI. Lead design of data models. Architect data pipelines”

What You'll Achieve.

Simplify transaction recognition; Enhance purchase management; Streamline dispute resolution; Support reporting; Support insights; Support ad hoc analysis

Industry & Context.

Financial Services
Problems you'll solve

Troubleshooting data issues; Troubleshooting visualization issues; Incident management; Root cause analysis; Issue mitigation

What They're Looking For.

Must Have

5+ years Python, 5+ years SQL, Analytics engineering background, Data platforms background, Data-driven roles background, Enterprise reporting experience, Dashboards experience, Advanced analytical use cases experience, Relational database concepts knowledge, Dimensional modeling knowledge, Data relationships knowledge, Scalable analytics consumption knowledge

Nice to Have

Experience in payments, Experience in financial services, Bachelor's degree in Computer Science, Bachelor's degree in analytics, Bachelor's degree in data science, Bachelor's degree in quantitative disciplines

What You'll Do.

Lead design of data models

Architect data pipelines

Optimize data pipelines

Optimize CI/CD pipelines

Resolve deployment issues

Resolve runtime issues

Champion GitLab best practices

Champion Git best practices

Lead deployment strategies

Ensure repeatable releases

Own promotion lifecycle

Establish release best practices

Establish governance best practices

Design data quality frameworks

Implement data quality frameworks

Develop Python solutions

Maintain Python solutions

Build JavaScript logic

Support JavaScript logic

Provide Power BI support

Optimize Power BI datasets

Govern Power BI reports

Govern Power BI workspaces

Configure Power BI subscriptions

Troubleshoot Power BI issues

Lead production support

Lead operational excellence

Perform root cause analysis

Mitigate issues proactively

Deliver data solutions

Partner with stakeholders

Enable advanced analytics

Refine data definitions

Resolve data challenges

Ensure trusted datasets

Act as technical leader

Conduct design reviews

How You'll Work.

Team & Collaboration

Cross-functional teams; Business stakeholders; Analysts; Data engineering teams

Process & Methodology

Release management

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** ### Lead Data Engineer ### Position Title: Lead Data Engineer Location: Austin, TX 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: Mastercard's Customer Experience and Disputes team is transforming the post-purchase journey by reducing friction, improving transparency, and enabling real-time collaboration between consumers, merchants, and issuers. This role will contribute to shaping innovative solutions that simplify transaction recognition, enhance purchase management, and streamline dispute resolution. We are seeking a highly analytical, execution focused, and collaborative Lead Data Engineer to join our Analytics team. This role partners closely with analysts, data engineering teams, and business stakeholders to deliver end to end analytical solutions—from designing Snowflake based data models to

Free ATS check

Applying for this Lead Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Mastercard?

Real rants from real employees. Read before you apply.

Read Company Rants →