Mastercard

1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 25 minutes agoStatus: Live

Job Summary

Lead and deliver scalable data pipelines and enterprise ETL solutions for Test & Learn and Services products at Mastercard, collaborating with cross-functional teams to optimize data processing using SQL and related technologies. You’ll mentor junior engineers, ensure quality through best practices, and work in hybrid teams based in Arlington, VA.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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 handle large data sets.
•Collaborate with analytics and business stakeholders to translate questions into data requirements and ensure quality through best practices.

Pay and Benefits

Salary: USD 132,000 - 212,000 annually

Key Requirements

•Experience as a Data Engineer or similar role focused on data engineering concepts including data modeling and scalable data solutions.
•Expertise writing and optimizing SQL queries to retrieve, manipulate, and analyze data.
•Experience with Relational Databases (RDBMS), strong hands-on with Microsoft SQL Server and related technologies.
•Familiarity with ETL frameworks and ability to design, implement, and maintain data pipelines.
•Databricks and Spark experience is a plus; willingness to learn new developer productivity tools.

Experience:Data engineeringETLSQLDatabricksSpark

Education:Bachelor's

Skills:SQLMicrosoft SQL ServerETLData modelingData pipelinesData validationGitHub Copilot (curious)

Tech Stack:SQLMicrosoft SQL ServerDatabricksSparkETLGitHub Copilot

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 25 minutes agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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 handle large data sets.
•Collaborate with analytics and business stakeholders to translate questions into data requirements and ensure quality through best practices.

Pay and Benefits

Salary: USD 132,000 - 212,000 annually

Key Requirements

•Experience as a Data Engineer or similar role focused on data engineering concepts including data modeling and scalable data solutions.
•Expertise writing and optimizing SQL queries to retrieve, manipulate, and analyze data.
•Experience with Relational Databases (RDBMS), strong hands-on with Microsoft SQL Server and related technologies.
•Familiarity with ETL frameworks and ability to design, implement, and maintain data pipelines.
•Databricks and Spark experience is a plus; willingness to learn new developer productivity tools.

Experience:Data engineeringETLSQLDatabricksSpark

Education:Bachelor's

Skills:SQLMicrosoft SQL ServerETLData modelingData pipelinesData validationGitHub Copilot (curious)

Tech Stack:SQLMicrosoft SQL ServerDatabricksSparkETLGitHub Copilot

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor