Jr. Data Engineer

Reposted 2 Days Ago
Ferndale, WA, USA
In-Office
84K-118K Annually
Mid level
Software
Elevate your assets to the next level
The Role
The Jr. Data Engineer will design and maintain scalable data pipelines, develop AI/ML models, analyze complex datasets, and communicate insights across teams.
Summary Generated by Built In
Role Information:
  • Job Title: Jr. Data Engineer
  • Work Location: Remote position- Required 1 week of training at our Washington office
  • Employment Type: Full-time
  • Employment Status: Exempt, salaried
  • Visa sponsorship is not available for this position.
  • Must reside in the United States.
  • We are not accepting applicants for remote workers in California, Illinois, and New York at this time.
Compensation:
  • $84,299-$117,636- depending on years of experience
Role Overview:We're looking for a skilled and curious Jr. Data Engineer to join our team and help shape the future of how we use data to drive real operational outcomes. In this role, you'll design and maintain scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data — into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this one's for you. 
Key Responsibilities:
  • Regularly design, develop, and maintain data pipelines and ML workflows to support operational and analytical needs
  • Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks
  • Analyze and interpret complex datasets, including time-series and machine health data to surface meaningful insights and support decision-making
  • Build, validate, and monitor AI/ML models in production, proactively identifying and resolving performance issues
  • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams
  • Participate in cross-functional meetings and planning sessions to align data engineering efforts with broader business goals
  • Stay current with advancements in AI/ML techniques, tools, and industry-specific applications, particularly within power, oil, and gas environments
  • Document processes, models, and systems in a way that supports knowledge sharing and team continuity
Required Qualifications:
  • 2-5 years of experience in data engineering, data science, or a related technical role 
  • 2+ years of hands-on experience with AI/ML modeling, including building and deploying models in production environments 
  • Strong proficiency in Python for data engineering and machine learning workflows 
  • Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) 
  • Demonstrated ability to collaborate effectively across cross-functional teams 
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field 
Preferred Qualifications:
  • Master's degree in a relevant technical discipline 
  • Experience working with machine health datasets and/or condition monitoring applications 
  • Background in the power, oil, or gas industry — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus 
  • Familiarity with time-series data modeling, forecasting, and anomaly detection techniques 
  • Experience with cloud-based ML platforms (Azure) and orchestration tools 
Other Qualifications:
  • Successfully pass background check for cybersecurity access requirements.
Cybersecurity Role Expectations:
  • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
  • Candidate is expected to maintain a cybersecure work environment.
Benefits:
  • Medical, Vision, Dental Insurance
  • Health Savings Account with Employer contributions
  • 401(k) with Employer match
  • Short-term & Long-term Disability Coverage
  • Accidental Death & Dismemberment Coverage
  • Life Insurance Coverage
  • 80 hours of Paid-Time-Off annually
  • Eight paid holidays per year
  • All other benefits required by applicable law

Skills Required

  • 2-5 years of experience in data engineering, data science, or a related technical role
  • 2+ years of hands-on experience with AI/ML modeling
  • Strong proficiency in Python for data engineering and machine learning workflows
  • Experience designing and managing end-to-end ML pipelines
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Ferndale, WA
96 Employees
Year Founded: 1991

What We Do

Cutsforth™ specializes in developing innovative new technologies and services to enhance plant asset management. We create mechanical, electrical, and software-based solutions to help plants monitor and maintain their critical equipment. Gain real-time insight into your machinery health through asset monitoring solutions and machinery upgrades. Cutsforth's knowledge and commitment to excellence drives our innovative solutions for the changing needs of our customers. Whether a quick response to a critical situation, or a new way of solving an old problem, our commitment to quality ensures our customers receive the best in class products and services---Cutsforth is the Power of Innovation.

Similar Jobs

Palantir Technologies Logo Palantir Technologies

Senior Software Engineer

Artificial Intelligence • Software
Hybrid
Seattle, WA, USA
4400 Employees
145K-200K Annually

DraftKings Logo DraftKings

VIP Host, National East

Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Remote or Hybrid
United States
6400 Employees
68K-85K Annually

CrowdStrike Logo CrowdStrike

Sales Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
2 Locations
10000 Employees
75K-115K Annually

Circle Logo Circle

Senior Analyst, AML Know Your Customer

Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
In-Office or Remote
23 Locations
1050 Employees
98K-128K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account