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Cloud Big Data Software Engineer

Job in Mt Rainier, Mount Rainier, Prince George's County, Maryland, 20712, USA
Listing for: Cymertek Corporation
Full Time position
Listed on 2026-02-12
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Mt Rainier

Cloud Big Data Software Engineer

Cymertek Corporation

Location
  • Annapolis Junction, MD 20701
Clearance
  • TS/SCI Full Poly (Full U.S. Citizenship required)
Key Summary

We are seeking a skilled Cloud Big Data Software Engineer to design and develop 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
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!)
  • The day off for your birthday
  • Medical/Dental/Vision – 100% employee coverage. ($1200 allowance or 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 extensive paperwork
  • 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.

Senior­ity Level

Entry level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting

Referrals

Referrals increase your chances of interviewing at Cymertek Corporation by 2x.

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