W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36427

  • Posted Date:

    09/28/2019

  • Specialized Area:

    Data Science

  • Job Title:

    senior Data Science Engineer

  • Location:

    Irvine,CA

  • Duration:

    9 Months

  • Domain Exposure:

    Pharmaceuticals, Manufacturing, Utilities/ Energy, Telecom, Aerospace/ Airlines

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)

  • Bench Recruiter:

    vanessa lynch




Job Description

Required Skills:

  • Someone who understand tradeoffs involved during at-scale data processing between speed, CPU load, reliability, data access speed, ease of use and other factors
  • A skilled troubleshooter who perseveres at tackling problems wherever they arise
  • Someone with excellent written and oral communication skills to convey technical challenges and solutions to both peers and managers
  • Someone with an understanding of up-to-date with modern data engineering tools and quickly learn new tools as needed.
  • Eight years minimum related experience in computer science, mathematics, physics, machine learning, or other related field.
  • Experience with Spark (Scala/Java) - Both ability to programming and understanding of system tuning and configuration
  • Strong working knowledge of Python
  • Applied Knowledge of Amazon Web Services (AWS); cloud architectures
  • Experience with and application of automated deployment using systems such as Terraform, Salt and Ansible.
  • Experience with Dev-Ops related topics such as cloud credential management, role-based access
  • Experience developing reliable large-scale data processing and analytical pipelines
  • Understanding of fundamental machine learning concepts such as logistic regression, data normalization, clustering, model overfitting
  • Familiarity with various coding languages including Scala, Java, C#, and .NET framework.
  • Experience with Docker, Jenkins, and Python packaging




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Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract


Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract