Mastercard

Mastercard

Lead Data Engineer

Arlington, Virginia · Part-time

Sponsorship not specified$161k-$266kDetected 1 day ago
PythonGitSQLSnowflakeDatabricksAWSAzureCI/CDDevOpsPlatform EngineeringSparkData EngineeringStakeholder ManagementEHR/EMRLeadershipCommunicationMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). 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 follow-through: 100%

Of 36 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 481 days.92% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

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

  • Enable seamless integration and interoperability across Databricks, Snowflake, AWS services, and Azure services.
  • Establish engineering standards for development, testing, deployment, monitoring, documentation, and operational excellence.
  • This is a hybrid role based in Arlington, VA requiring three days per week onsite.

Responsibilities

  • 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.
  • Lead Data Engineer
  • Implement secure and governed access patterns using RBAC, IAM, service principals, and enterprise identity integration.
  • Lead technical design reviews and influence architecture and platform engineering decisions.
  • Provide technical leadership and mentorship to engineers while driving initiatives from design through implementation.
  • Partner with Product, Architecture, Engineering, Data, and Business teams to translate complex requirements into scalable and sustainable technical solutions.
  • Deep hands-on experience as a Lead or Senior Data Engineer, designing and building enterprise-scale cloud data, analytics, and BI platforms.
  • Experience building scalable ETL/ELT pipelines, data integration frameworks, and distributed data solutions.
  • Proven ability to lead technical design and architecture decisions, drive complex engineering initiatives across teams, and mentor engineers.

Requirements

  • Advanced proficiency with Apache Spark/PySpark, Delta Lake, SQL, and Python for large-scale data processing and analytics.
  • Strong experience with CI/CD, Infrastructure as Code, automation, Git/GitHub, and DevOps practices for data platforms.
  • Knowledge of modern and open data architectures and formats, including Delta Lake and Apache Iceberg.
  • Strong communication and stakeholder management skills, with the ability to clearly articulate technical decisions, trade-offs, risks, and recommendations.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline.
  • Experience designing multi-cloud data architectures and integrations across AWS and Azure; experience with Azure Databricks and ADLS Gen2 is a plus.

Nice to have

  • Experience designing multi-cloud data architectures and integrations across AWS and Azure
  • experience with Azure Databricks and ADLS Gen2 is a plus.

Skills

  • Understanding of FinOps, cloud cost optimization, performance, and scalability for large-scale data workloads.

Compensation

  • In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions dependi

Company info

  • Together with our customers, we're helping build a sustainable economy where everyone can prosper.
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.