Cloud Analytics Engineer - Flexible Schedule

Cymertek Corporation; Tysons (VA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Schedule

Medical/Dental/Vision coverage

401k Matching

Paid Leave

Life Insurance

Job summary

Cymertek Corporation is seeking a Cloud Analytic Software Engineer to design, develop, and optimize cloud-based analytics solutions in a fast-paced environment. You will build scalable data pipelines, process large datasets, and collaborate with teams to deliver advanced analytics capabilities.

The role requires expertise in Python/Java, cloud platforms (AWS/Azure/GCP), and big data tools like Hadoop/Spark, with a focus on secure, efficient data processing.

Qualifications

• Bachelor's degree in a relevant field (Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology).
• Proficiency in Python or Java.
• Experience with AWS, Azure, or GCP cloud platforms.
• Familiarity with Hadoop or Spark for big data processing.
• Understanding of distributed systems and microservices.
• Knowledge of SQL and NoSQL databases; ability to build/maintain CI/CD pipelines.

Responsibilities

• Develop and maintain cloud-based analytics solutions.
• Design scalable and efficient data pipelines.
• Implement and optimize data processing workflows.
• Collaborate with cross-functional teams to deliver analytics capabilities.
• Ensure system security and data integrity.
• Document and present technical designs.

Skills

Python

Java

Cloud Platforms

Big Data Tools

Distributed Systems

SQL/NoSQL

CI/CD

Education

Bachelor's Degree

Tools

Hadoop

Spark

Docker

Kubernetes

Job description

Cymertek Corporation is seeking a Cloud Analytic Software Engineer to design, develop, and optimize cloud-based analytics solutions in a fast-paced environment. You will build scalable data pipelines, process large datasets, and collaborate with teams to deliver advanced analytics capabilities.

The role requires expertise in Python/Java, cloud platforms (AWS/Azure/GCP), and big data tools like Hadoop/Spark, with a focus on secure, efficient data processing.