Senior Data Engineer — Spark ETL & Cloud Analytics Lead

Insight Global; United States; On-site; USD 82,656 - 96,432; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

Disability insurance

Job summary

A major telecommunications firm is seeking a Senior Data Engineer to join its Network Analytics team. This role involves designing, developing, and maintaining scalable ETL pipelines primarily using Spark. Successful candidates will have a Bachelor’s degree in relevant fields, experience with Big Data tools, and expertise with AWS cloud platforms. Benefits include medical insurance, 401(k), and tuition assistance. The hourly pay rate ranges from $60 to $70.

Qualifications

• Bachelor’s degree or relevant experience in computer science or related fields.
• Experience with Big Data tools, especially Spark.
• Proficiency with AWS cloud platforms.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines using Spark.
• Implement monitoring and alerting solutions.
• Optimize and manage data storage solutions.

Skills

Big Data tools

Spark

AWS

Linux-based operating systems

Relational databases

NoSQL databases

Data architecture

Continuous integration

Education

Bachelor’s degree in relevant fields

Job description

A major telecommunications firm is seeking a Senior Data Engineer to join its Network Analytics team. This role involves designing, developing, and maintaining scalable ETL pipelines primarily using Spark. Successful candidates will have a Bachelor’s degree in relevant fields, experience with Big Data tools, and expertise with AWS cloud platforms. Benefits include medical insurance, 401(k), and tuition assistance. The hourly pay rate ranges from $60 to $70.