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Data Engineer - Remote

Posted 1 week ago
Data Analysis
Full Time
USA

Overview

This is a fully remote role for a Data Engineer responsible for building and maintaining data infrastructure to solve business problems and improve processes.

In Short

  • Work with data to solve business problems
  • Streamline data workflows and enhance product offerings
  • Develop data models and pipelines for various applications
  • Advocate for best practices and continuous learning
  • Build data pipelines that clean and transform data
  • Integrate data sources with third-party tools for insights
  • Analyze data for trends and patterns
  • Develop predictive models for business needs
  • Implement analytical models in production
  • Utilize agile processes for iterative improvements

Requirements

  • Bachelor's degree in a related field
  • 3+ years of experience with Python, SQL, and data visualization tools
  • Familiarity with Microsoft and Azure ecosystems
  • Strong communication skills for technical concepts
  • Proficiency in data mining and statistical analysis
  • Experience in predictive modeling
  • Ability to work in a dynamic, research-oriented group

Benefits

  • Medical, Dental, Vision & 401k with Employer Match
  • Volunteer Day
  • PC Co-op
  • 9/80 work schedule with every other Friday off
  • Employer Paid Disability & Life Insurance

D.S

Dakota Software

Dakota Software is a forward-thinking company that specializes in leveraging data to solve complex business problems. With a fully remote work environment, Dakota Software is committed to building and maintaining robust data infrastructures that enhance product offerings and improve customer retention. The company emphasizes best practices in data management and analytics, advocating for continuous learning and innovation. Dakota Software values collaboration and is dedicated to providing insights through advanced data modeling, machine learning, and integration with third-party tools, ensuring that both internal teams and external clients can make informed decisions based on comprehensive data analysis.

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