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Cymertek Corporation

Cloud Big Data Software Engineer

Cymertek Corporation, Honolulu, Hawaii, United States, 96814

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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 NoSQL 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

jobs@cymertek.com

or apply today:

www.cymertek.com

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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