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Microsoft Senior Data Engineer 
United States, Washington 
745444728

11.06.2024

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with the tooling and infrastructureneeded toand host AI workloadsa world-class data analytics platform to support data-driven decision makingthrough the organization.

ensure actionable and trustworthy dat

Required Qualifications:

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
    • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, or data engineering work
    • OR equivalent experience
  • 4+ years technical engineering experience with coding in languages including, but not limited to C, C++, C#, Java, JavaScript, or Python
  • 4+ years technical experienceworking withquery languages

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • 4+ years technical experience working with relational databasesand query languages
  • 4+ years technical experience working as a data engineer
  • Experience withAzure ecosystem
  • Experience with data governance and compliance standards such as GDPR, CCPA, or HIPAA.
  • Good communication

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until June 21, 2024.

Responsibilities
  • Leverage Azure tooling toestablishand monitordata pipelinesand data stores
  • Build scalable data models and data pipelines to extract, load and transform data, ensuringsecure data storage, with focus on data quality and compliance
  • Contribute to data-driven culture by collaboratingwith dataengineeringteamsin Azure toestablishandshare practices
  • Embody our

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