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Senior Machine Learning Engineer

Mitchell Martin, Inc.McLean, VA🇺🇸United States

Quick overview

Salary$79 - $89/hr
SeniorityMid Senior
Work modeHybrid
LocationMcLean, VA, United States
SQLSwiftAWSSnowflakeAirflowGoogle CloudHadoopHiveJavaPythonRedshiftAzureMachine Learning

Job description

Senior Machine Learning Engineer - Mclean, VA - Contract - $79-89 Per HR

Our client is seeking a highly skilled engineer to join their team in Mclean, VA. This is a contract position focusing on managing and transforming large data volumes. The ideal candidate will have experience with data integration and cloud computing technologies to ensure high-quality data processing and swift response to production issues.

Key Responsibilities

  • Develop and maintain data integration pipelines to efficiently handle large data volumes.
  • Ensure applications are well-managed and meet quality standards.
  • Quickly respond to and resolve production issues as they arise.
  • Collaborate with team members to optimize data processing workflows.
  • Utilize cloud computing platforms to enhance data management capabilities.

Qualifications

  • 5+ years of experience in application development.
  • 4+ years of experience with big data technologies.
  • 4+ years of experience in cloud computing (AWS, Azure, or Google Cloud).

Core Technologies

Python | SQL | Java | Airflow | AWS | Google Cloud | EMR | Spark | MapReduce | Hadoop | Hive | Snowflake | Redshift

Contact Authorization

By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy on our web site or here (

Benefits

Learn more about our benefits offerings on our web site or here (

Onboarding Expectations

Learn more about our Onboarding Process on our web site or here (_NFYjyY4)

EEO Statement

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