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Telecom Data Engineer Jobs (NOW HIRING)

AgreeYa Solutions

Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

Data Engineer Location: El Segundo, CA Work Arrangement: Hybrid - 3 Days Onsite / 2 Days Remote ... as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology ...

New

Infosys

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

... Expert Data Engineering SQL Performance Tuning Production Support Telecom Domain Exposure ... Preferred Skill and Experience Telecom domain experience or exposure to OSS/BSS, network operations ...

First Orion Corp

Data Platform Engineer

North Little Rock, AR · On-site

$109K - $131K/yr

The engineer will translate platform architecture and governance standards into reliable ... Experience with FinOps, Delta Sharing, AI/ML platforms, or high-scale telecom data systems Company ...

Posted today

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Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

Reply

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... operating in the telecom and media, industry and services, banking, insurance and public ...

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Telecom Data Engineer information

See salary details

$46K

$165K

$243.5K

How much do telecom data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for telecom data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a telecom data engineer?

Telecom Data Engineers are professionals who design, develop, and manage data systems specifically for the telecommunications industry. They work with large volumes of data generated by telecom networks, ensuring efficient data storage, processing, and analysis. Their responsibilities often include building data pipelines, maintaining databases, and collaborating with data scientists and network engineers to optimize network performance and support business decisions.

What are the key skills and qualifications needed to thrive as a telecom data engineer?

To thrive as a Telecom Data Engineer, you need a solid background in data engineering, telecommunications systems, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with telecom protocols, big data platforms (such as Hadoop or Spark), and certifications like CCNA or relevant cloud certifications is commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate across technical and business teams. These skills are crucial for designing efficient data pipelines, ensuring network reliability, and delivering actionable insights in the fast-evolving telecom industry.

What are some common challenges telecom data engineers face when working with large-scale network data?

Telecom Data Engineers often handle massive volumes of real-time data generated by network devices and user activity, which can present challenges in terms of data ingestion, storage, and processing speed. Ensuring data accuracy and minimizing latency are crucial, especially for supporting network optimization and troubleshooting. Additionally, engineers must address data privacy and security concerns while collaborating closely with network operations and analytics teams to deliver actionable insights. Successfully managing these complexities requires strong technical skills and effective communication across departments.

What is the difference between Telecom Data Engineer vs Network Engineer?

AspectTelecom Data EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science, Data Science, or related field; certifications like CCNA, Cisco Data Center certificationsBachelor's in Computer Engineering, Network Engineering, or related; certifications like CCNA, CCNP
Work EnvironmentTelecom companies, data centers, cloud environments, working with large datasets and data pipelinesTelecom, IT, or networking departments; focus on network infrastructure and hardware
Employer & Industry UsageTelecom service providers, data analytics firms, cloud providersTelecom companies, ISPs, enterprise network providers

While both roles work within the telecom industry and require networking certifications, Telecom Data Engineers focus on managing and analyzing large data sets related to telecom networks, whereas Network Engineers primarily design, implement, and maintain network infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Telecom Data Engineer jobs?

For Telecom Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Telecom Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer

El Segundo, CA • On-site

AgreeYa Solutions
IT Services • 1 - 5K employees
Learn more about AgreeYa Solutionsexternal

$122K - $146K/yr

Other

Posted 2 days ago

New

Job description

Data Engineer

Location: El Segundo, CA
Work Arrangement: Hybrid – 3 Days Onsite / 2 Days Remote

Position Summary

We are looking for a skilled Data Engineer with strong hands-on experience in Python, Apache Airflow, ETL/ELT, and SQL. The ideal candidate will be responsible for designing, developing, maintaining, and optimizing data pipelines and workflows that support business and analytical needs.

The candidate should have strong experience building reliable ETL pipelines, developing Airflow DAGs, writing complex SQL queries, and using Python for data processing and automation.

Key Responsibilities

·       Design, develop, and maintain scalable ETL/ELT data pipelines.

·       Develop and maintain Apache Airflow DAGs for workflow orchestration, scheduling, dependencies, retries, and monitoring.

·       Develop Python scripts and applications for data extraction, transformation, validation, and automation.

·       Write complex and optimized SQL queries for data extraction, transformation, and manipulation.

·       Integrate data from multiple sources and ensure accurate and reliable data movement.

·       Monitor, troubleshoot, and optimize Airflow workflows and data pipelines.

·       Implement data validation and quality checks to ensure data accuracy and consistency.

·       Identify and resolve pipeline failures, data issues, and performance problems.

·       Optimize ETL processes for reliability, scalability, and performance.

·       Work closely with data analysts, business teams, and other technical teams to understand data requirements.

·       Maintain technical documentation for data pipelines, workflows, and processes.

·       Follow development best practices including version control, code reviews, testing, and documentation.

Required Skills

·       Strong hands-on experience with Apache Airflow.

·       Strong Python programming and scripting skills.

·       Strong SQL skills, including complex queries, joins, CTEs, subqueries, and data transformations.

·       Hands-on experience developing ETL/ELT pipelines.

·       Strong understanding of data pipelines, data integration, and data processing.

·       Experience troubleshooting and monitoring production data pipelines.

·       Strong analytical and problem-solving skills.

·       Good communication and collaboration skills.

Preferred Skills

·       Experience with cloud-based data environments such as AWS, Azure, or Google Cloud Platform.

·       Experience with data warehouses or relational databases.

·       Experience with Git/version control and CI/CD practices.

·       Experience with data quality, validation, and pipeline monitoring.

·       Familiarity with Linux/Unix environments.

Qualifications

·       Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

·       5+ years of experience in Data Engineering.

·       Strong hands-on experience with Python, Apache Airflow, ETL/ELT, and SQL.

About Us:
AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 1,850 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at Agreeya for more information.
 

AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics. Visit our website to learn about our Career & Culture.

 

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