Big Data Engineer

CYNET SYSTEMS

  • Reston, VA
  • 7 days ago
  • $51–$66 Per Hour
  • Temporary
  • Contractor
  • Part-time

Highlights

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

Numbers & Facts

LocationReston, VA
Job TypeTemporary, Contractor, Part-time
Salary$51–$66 Per Hour
HeadquartersReston, VA, US

Description

Job Overview:

Pay Range: $51.40hr - $66.71hr

Requirement/Must Have:

  • Bachelor's degree in Computer Science, Data Engineering, or related field.
  • 3 5+ years of experience in big data engineering roles.
  • Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka.
  • Strong skills in Python, SQL, and data modeling techniques.

Responsibilities:

  • Design and implement big data architectures, including ingestion, processing, and modeling of heterogeneous data sources.
  • Develop and maintain ETL/ELT pipelines for structured and unstructured data.
  • Work closely with data scientists, analysts, and business SMEs to deliver actionable insights.
  • Integrate big data solutions with the organization's digital ecosystem and project execution platforms.
  • Ensure data reliability, security, and compliance with governance policies.
  • Optimize data workflows for scalability and efficiency.
  • Explore emerging technologies and frameworks to enhance data engineering capabilities.
  • Support automation and advanced analytics initiatives across projects.
  • Provide technical guidance to junior engineers or analysts as needed.
  • Interact frequently with data scientists, project managers, IT teams, and business stakeholders.

Nice to Have:

  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Familiarity with data governance frameworks and enterprise data architecture.
  • Knowledge of engineering and construction workflows is a plus.

Skills:

  • AWS.
  • Azure.
  • Hadoop.
  • Spark.
  • Kafka.
  • Python.
  • SQL.
  • Data Modeling.
  • ETL/ELT.
  • Big Data Architecture.

Qualification And Education:

  • Bachelor's degree in Computer Science, Data Engineering, or related field.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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