Mastercard

Mastercard

Senior Data Engineer

O'Fallon, Missouri, USA · Senior · Part-time

Sponsorship not specified$115k-$184kDetected 8 hours ago
PythonJavaScalaSQLPostgreSQLDatabricksAWSMachine LearningDeep LearningTensorFlowPyTorchSparkData EngineeringData ScienceLLMsStatisticsHadoop

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 52 green-card filings in this occupation, 92% were for a worker who already held the job.

Green-card intent detected

Mastercard Technologies, LLC obtained a prevailing wage determination for Software Developers in O'FALLON, MISSOURI on 2026-06-18. No matching green-card filing appears in our data yet. The determination expires in 10 days (2026-09-15), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Files H-1B transfers

20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The ideal candidate is passionate about solving complex data challenges, leveraging modern big data technologies, and driving continuous innovation in a fast-paced, collaborative environment.
  • Apply AI/ML techniques, anomaly detection, predictive analytics, and statistical modeling to enhance data quality monitoring, intelligent threshold recommendations, alert reduction, and root cause analysis.
  • Contribute to architecture, engineering standards, and continuous innovation by evaluating emerging technologies, Generative AI capabilities, and best practices that improve data quality, developer productivity, and operational efficiency.

Responsibilities

  • Partners with Data Strategists, Data Stewards, Product Owners, Architects, and Engineering teams to solve complex data challenges and deliver enterprise data quality and data engineering solutions.
  • Develop and optimize data processing solutions using AWS services, SQL, data warehouses, and data lakes while ensuring performance, scalability, security, and operational excellence.
  • Perform production support, troubleshoot complex data issues, conduct root cause analysis, and independently resolve incidents while maintaining platform stability and service reliability.
  • Be a strong communicator and collaborator, capable of working effectively with Data Strategists, Data Stewards, Product Owners, Architects, and Engineering teams to deliver business outcomes.

Nice to have

  • Possess strong expertise in data engineering, data quality frameworks, data warehousing, ETL/ELT processes, Nifi and large-scale distributed data processing environments.
  • Demonstrate advanced SQL skills and experience working with technologies such as Oracle, PostgreSQL, Iceberg, Ozone, Hadoop, and object storage platforms.
  • Have experience implementing data quality controls, validation frameworks, observability, monitoring, and incident resolution processes to improve data reliability and trust.
  • Desirable or Additional Capabilities
  • Experience leveraging Generative AI and AI-assisted development tools to improve engineering productivity, automate processes, accelerate delivery, and enhance solution quality.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related technical field, or equivalent practical experience.
  • Relevant cloud, data engineering, big data, AI/ML, or analytics certifications are a plus.
  • Abide by Mastercard's security policies and practices;

Skills

  • Essential Knowledge, Skills, and Experience

Compensation

  • The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience.
  • O'Fallon, Missouri: $115,000 - $184,000 USD

Company info

  • The Enterprise Data Quality team is seeking a Senior Data Engineer to help build and scale Mastercard's next-generation Data Quality platform.
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.