Senior Data Engineer

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

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $70.00/hr

Insight Global is hiring a Sr. Data Engineer for our client, a major telecommunications firm providing connectivity services to millions of customers. The Senior Data Engineer is part of the Network Analytics team, responsible for building and maintaining the data infrastructure supporting enterprise networks.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines (primarily using Spark) to ensure data quality and availability.
• Implement monitoring and alerting solutions for data pipeline reliability and performance.
• Manage deployment pipelines for continuous integration and delivery.
• Optimize and manage data storage solutions (distributed file systems, relational databases, flat files, external APIs).
• Collaborate with cross-functional teams to align data solutions with business requirements.
• Provide technical leadership on data engineering best practices.
• Document and communicate data engineering processes to a diverse audience.
• Continuously evaluate and improve data engineering tools and methodologies.

Qualifications

• Bachelor’s degree (or relevant experience) in computer science, mathematics, statistics, physics, operations research, or related quantitative fields.
• Experience with Big Data tools, especially Spark, and familiarity with Hadoop ecosystems.
• Proficiency with cloud platforms (AWS: S3, Lambda, Redshift, EMR).
• Strong understanding of relational and NoSQL databases, data architecture, warehousing, and marts.
• Experience implementing monitoring solutions and deployment pipelines for data applications.
• Strong communication and collaboration skills.
• Experience with Linux-based operating systems.
• Demonstrated ability and desire to continually expand skill set and share knowledge with others.

The hourly pay rate range for this role is $60/hr - $70/hr

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

Telecommunications

Benefits

• Medical insurance
• Vision insurance
• 401(k)
• Paid maternity leave
• Paid paternity leave
• Tuition assistance
• Disability insurance