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Data and Machine Learning Engineers (Early Career)

A purpose-driven data, cloud, and AI consultancy focused on creating solutions that matter.
Atlanta, GA, USACleveland, OH, USADallas, TX, USA
$40,000 - $100,000
Data
Entry-Level Software Engineer
Hybrid
AI · Enterprise SaaS

Description For Data and Machine Learning Engineers (Early Career)

Further is seeking early career Data and Machine Learning Engineers to join their innovative team working at the intersection of data, cloud, and AI. This entry-level role offers a unique opportunity to make real impact while receiving dedicated mentorship and hands-on experience with cutting-edge technologies.

The position involves designing data pipelines, developing ML workflows, and helping enterprise clients make data-driven decisions. You'll work directly on client projects from day one, supported by experienced mentors who are invested in your growth. The role requires a foundation in computer science, mathematics, or related fields, with programming experience in Python/SQL and exposure to machine learning concepts.

Further stands out as an employer by offering comprehensive benefits including competitive compensation, 401k matching, generous time off, and significant investment in professional development. The company culture emphasizes both ambition and support, creating an ideal environment for early career professionals to thrive.

The hybrid work environment provides flexibility while maintaining collaborative opportunities, with locations in Atlanta, Cleveland, and Dallas. This role is perfect for recent graduates passionate about data and AI who want to grow their careers while working on meaningful projects that drive real business impact. Further's commitment to mentorship and professional development makes it an excellent launchpad for a career in data engineering and machine learning.

Last updated 2 months ago

Responsibilities For Data and Machine Learning Engineers (Early Career)

  • Designing and building data pipelines and ETL workflows
  • Supporting the development and deployment of machine learning models
  • Working with cloud platforms like AWS, Azure, or Google Cloud
  • Contributing to client projects and strategic solutions
  • Growing skillset with certifications and hands-on mentorship

Requirements For Data and Machine Learning Engineers (Early Career)

Python
  • A degree in Computer Science, Engineering, Math, Statistics, or related field
  • Programming experience in Python, SQL, or similar
  • Exposure to machine learning concepts and tools
  • Comfort with data science, data engineering, or database systems
  • Basic understanding of math foundations like linear algebra and statistics
  • Interest in cloud technologies and version control

Benefits For Data and Machine Learning Engineers (Early Career)

401k
Parental Leave
  • Competitive merit-based compensation
  • Matching 401k
  • Generous time-off and holiday schedule
  • Parental leave
  • Investments in growth and development

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