Big Data Engineer – Scalable Pipelines & Flexible Schedule

Cymertek Corporation; Aurora (CO); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

Cafeteria Style Benefits

10% - 401k Matching (Vested Immediate)

Paid Leave/Holiday

Medical/Dental/Vision - 100% employee

Life Insurance - 100% employee

Job summary

Cymertek Corporation in Aurora, CO is seeking a Big Data Engineer to design, develop, and maintain scalable data pipelines and storage systems to support BI and analytics. You will work with cross-functional teams to handle large-scale datasets, applying best practices in data architecture and distributed systems.

The ideal candidate has experience with Java or Python, Spark, Hadoop, and SQL, and holds a Bachelor's degree.

Qualifications

• Experience designing scalable data pipelines.
• Proficient in distributed data processing and big data tools.
• Strong knowledge of data architecture and data storage systems.
• Bachelor's degree in CS or related field is preferred.

Responsibilities

• Design scalable data pipelines.
• Develop and maintain data processing systems.
• Collaborate with cross-functional teams for BI needs.
• Optimize data storage and access patterns.

Skills

Java/Python

Spark

HDFS

SQL

Structured data

Unstructured data

Workflow orchestration

Education

Bachelor's Degree

Tools

HDFS

Spark

Job description

Cymertek Corporation in Aurora, CO is seeking a Big Data Engineer to design, develop, and maintain scalable data pipelines and storage systems to support BI and analytics. You will work with cross-functional teams to handle large-scale datasets, applying best practices in data architecture and distributed systems.

The ideal candidate has experience with Java or Python, Spark, Hadoop, and SQL, and holds a Bachelor's degree.