Cayuse Holdings
  • 20-May-2021 to Until Filled (HST)
  • Cayuse Talent Solutions
  • USA
  • Full Time

Cayuse Talent Solutions (CTS) provides top tier talent to government and commercial clients. CTS yields permanent placement, staff augmentation services, and talent management/recruitment consulting services.


We are looking for a Senior Data Engineer for our Data & Analytics team to help internal and external customers build out Data & Analytics Platforms. This position is focused on AWS and Kinesis Data Analytics.


Responsibilities:

  • Participate as lead engineer on projects and assist in communication/collaboration sessions with clients
  • Assist project team with oversight of junior team members: task delegation; technical assistance; oversight and QA
  • Collaborate as assist with solution design
  • Identify, build, and implement optimal Data Platform
  • Identify, build, and implement highly scalable Data pipeline with automation
  • Build out ETL jobs per architectural guidelines which integrates within the data pipeline
  • Work with stakeholders including executive and data teams to troubleshoot and identify issues within the Data Platform
  • Suggest and implement optimization patterns for an existing or new Data Platform
  • Identify and implement BI tools per architectural guidelines
  • Ability to proactively identify performance gaps in a solution and provide guidance for improvements
  • Ability to work independently with minimal supervision
  • Ability to articulate a problem and find solutions in a timely manner
  • Ability to travel up to 30% to customer sites

Minimum Qualifications:

  • 4+ years of engineering experience
  • Bachelor's degree in computer science, mathematics, statistics or a similar quantitative field
  • Deep understanding of and experience with Kinesis Analytics
  • Strong AWS background
  • Core understanding of Big Data principles and architectural patterns
  • Deep understanding of Batch and streaming data pipelines
  • Have proven experience in building out Data Lakes using AWS services and other CSPs
  • Deep understanding of AWS Data & Analytics services (Kinesis, S3, EMR, Athena, Redshift, etc.)
  • Proven experience building or administering BI tools such as Tableau, Domo, Lookr, etc.
  • Be able to build data pipelines and platforms using proven development tools and languages such as Eclipse, IntelliJ, Python, Scala, Spark, PySpark, AWS Glue
  • Experience implementing Machine Learning solutions and services on AWS or GCP

Desired Qualifications:

  • Experience with GCP or Azure cloud solution
  • Experience with Qubole Data Platform

As an equal opportunity employer, Cayuse Talent Solutions is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact our Operations Department at (541) 278-8200 for assistance.

Cayuse Holdings
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