Data Scientist/Cloud Software Engineer Honolulu, Clearance TS/SCI FS Poly
Listed on 2025-11-24
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IT/Tech
Data Engineer, Machine Learning/ ML Engineer, Cloud Computing, AI Engineer
Data Scientist / Cloud Software Engineer
LOCATION Honolulu, HI 96815
CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are looking for a talented Data Scientist / Cloud Software Engineer to join our team and contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will work on designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making. The ideal candidate will have a strong understanding of both cloud infrastructure and data analytics, with a passion for solving complex problems and transforming large datasets into actionable solutions.
If you enjoy working in a dynamic environment where technology meets business impact, we encourage you to apply and help the future of our data-driven products and services.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals.
We look forward to you joining our family. ***
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, ect.
ALTERNATE EXPERIENCE General comment on degrees:
Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to the right fit.
POSITION RESPONSIBILITIES
- Design and implement cloud-based data solutions
- Build scalable data processing workflows
- Develop and maintain machine learning models
- Collaborate with cross-functional teams to deliver insights
- Ensure data security and compliance
- Document and communicate technical solutions
- Proficiency in Python or Java
- Experience with cloud platforms like AWS or GCP
- Expertise in big data tools like Spark or Hadoop
- Familiarity with machine learning frameworks such as Tensor Flow or Py Torch
- Knowledge of SQL and No
SQL databases - Ability to optimize and monitor cloud-based pipelines
- Familiarity with Infrastructure as Code (IaC) tools
- Knowledge of real-time data processing platforms
- Understanding of advanced statistical methods
- Experience with serverless computing models
- Knowledge of containerization tools like Docker or Kubernetes
- Ability to integrate machine learning models into production systems
- Excellent Salaries
- Flexible Work Schedule
- Cafeteria Style Benefits
- 10% - 401k Matching (Vested Immediately)
- Additional 401k Profit Sharing
- 30 days Paid Leave/Holiday (No Use or Lose!)
- The day off for your birthday
- Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
- HSA/FSA
- AFLAC
- Long Term/Short Term Disability - 100% employee coverage. No cost to you.
- Life Insurance - 100% employee coverage. No cost to you.
- Additional Discretionary Life Insurance
- Paid Training
- No long, wordy reviews with tons of paperwork!!!
- Referral bonus program with recurring annual payments
Email us at or apply today:
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EQUAL OPPORTUNITY EMPLOYER STATEMENTCymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws.
We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.
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