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Cloud Big Data Software Engineer

Job in Honolulu, Honolulu County, Hawaii, 96814, USA
Listing for: Cymertek Corporation
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

Cloud Big Data Software Engineer

Cymertek Corporation

Location: Honolulu, HI 96815

Security Clearance: TS/SCI Full Poly (requires full U.S. citizenship)

Key

Summary:

We are seeking a skilled Cloud Big Data Software Engineer to join our team and play a pivotal role in designing and developing cloud-based big data solutions. In this role, you will work with cutting‑edge technologies to build scalable systems capable of handling large volumes of data, enabling businesses to derive valuable insights. The ideal candidate is passionate about big data, cloud platforms, and software engineering, and thrives in a collaborative environment where innovation and problem‑solving are essential.

If you’re eager to take on complex challenges and drive impactful projects, we encourage you to apply and become part of our dynamic team.

Position Responsibilities
  • Design and implement big data solutions in cloud environments
  • Develop and maintain data pipelines for large‑scale processing
  • Optimize system performance and scalability
  • Collaborate with data teams to define requirements and solutions
  • Ensure data security and compliance standards are met
  • Document system architecture and workflows
Required Skills
  • Proficiency in programming languages like Python or Java
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Expertise in big data tools such as Hadoop, Spark, or Kafka
  • Knowledge of distributed systems and parallel processing
  • Understanding of SQL and No

    SQL databases
  • Familiarity with containerization technologies like Docker
Desired Skills
  • Familiarity with real‑time analytics platforms
  • Knowledge of Infrastructure as Code (IaC) tools like Terraform
  • Understanding of serverless computing models
  • Experience with advanced data visualization frameworks
  • Knowledge of cost optimization techniques for cloud systems
  • Ability to integrate machine learning models with big data solutions

Degree Requirements: Bachelor’s Degree (Computer Science, Data Science, Cloud Computing, Software Engineering, or related fields). Preferred focus includes Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Applied Mathematics, Information Systems, Data Analytics, Electrical Engineering, Artificial Intelligence, Cybersecurity, and Statistics.

Alternative experience: 4–5 years of professional experience may be considered in lieu of a Bachelor’s Degree; 2 years may offset a Master’s Degree. We will work with you to find the right fit.

Seniority Level: Entry level

Employment Type: Full‑time

Job Function: Engineering and Information Technology

Industries: IT Services and IT Consulting

Benefits
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% – 401(k) Matching (Vested Immediately)
  • Additional 401(k) Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose)
  • Birthday Day Off
  • Medical/Dental/Vision – 100% employee coverage (plus $1200 allowance or bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability – 100% employee coverage
  • Life Insurance – 100% employee coverage
  • Additional Discretionary Life Insurance
  • Paid Training
  • Efficient Performance Reviews
  • Referral bonus program with recurring annual payments
How To Apply

Email us at  or apply today:

EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek 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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