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Data Engineer II

Skills
Computer ScienceData EngineeringAnnotationApache SparkBusiness RequirementsData AnalyticsData Pipelines
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • A minimum of 10 years of directly related working experience
  • Experience with large digital delivery projects
  • Experience with large APIs
  • Ability to obtain required security clearance: Public Trust
  • Current or prior experience in government contracting space
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with Machine Learning and Deep Learning Tools and Software
  • Experience in statistics, data processing, or data annotation
  • Proficiency with programming languages like Python, R, SAS, and/or Java
  • Experience with data analysis tool like Hadoop, Apache Spark, or cloud-provider equivalents
  • Effective written and oral communication skills to communicate insights extracted from the data
  • Ability to understand and respond to customer needs and collaborate as part of a cross-functional team
  • Ability to operate and manage work, strategically reason, and build relationships and influence others

Nice to have

  • 2 years working with Azure infrastructure
  • 2 years working with Databricks, Postgres SQL, Power BI
  • BS in Computer Science, Data Analytics, Data Science, IT, EE, CE, or similar technology-related degree

Day to day

  • Architect, build, and maintain scalable tooling and infrastructure for managing data in a system
  • Build automated data pipelines, manage data storage, and create systems to make data available to users
  • Support the team by performing tasks like data analysis, interpretation, extraction, formatting, labeling, cleaning, transformation, reduction, discretization, annotation, loading, and processing

Hiring process

  • Introductory interview with recruiter
  • Technical interview with technical team
  • Business interview with Fearless leadership