Cloud Analytics Engineer — Scalable Data Pipelines

Cymertek Corporation; Maryland; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

Cafeteria Style Benefits

401k Matching

Paid Leave/Holidays

Birthday day off

Health/Dental/Vision - 100% employee

HSA/FSA

Disability insurance

Life Insurance - 100% employee

Training

Referral bonus program

Job summary

Cymertek Corporation is seeking a Cloud Analytic Software Engineer to join our team in Annapolis Junction, MD. The role focuses on designing, developing, and optimizing cloud-based analytic solutions that process large datasets and provide actionable business insights.

The ideal candidate thrives in a fast-paced, collaborative environment and has a passion for cloud computing and data analytics. We value candidates with expertise in Python/Java, cloud platforms (AWS/Azure/GCP), and big data

Qualifications

• Bachelor's degree required in CS, IT, or related field.
• Experience designing cloud-based analytics solutions is a plus.
• Strong understanding of data pipelines and data processing workflows.

Responsibilities

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

Skills

Python

Java

Cloud platforms

Big data (Hadoop/Spark)

Distributed systems

SQL/NoSQL

CI/CD pipelines

Education

Bachelor's Degree

Focus: CS/DS/SE/IT/AI

Tools

Docker

Kubernetes

Terraform

Job description

Cymertek Corporation is seeking a Cloud Analytic Software Engineer to join our team in Annapolis Junction, MD. The role focuses on designing, developing, and optimizing cloud-based analytic solutions that process large datasets and provide actionable business insights.

The ideal candidate thrives in a fast-paced, collaborative environment and has a passion for cloud computing and data analytics. We value candidates with expertise in Python/Java, cloud platforms (AWS/Azure/GCP), and big data