Senior Data Engineer

Mastercard
United States
Workplace: HybridFull timeUSD 132,000 - 212,000 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["SQL","Microsoft SQL Server","ETL","Data modeling","Data pipelines","Data validation","GitHub Copilot (curious)"]

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.

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FursaFursa
Mastercard
Mastercard
3 months ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Status: Live
Reposted: similar role first listed 7 months ago

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
Glassdoor: 4.1
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