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Telecom Data Engineer Jobs (NOW HIRING)

1 point system

Telecom Data Engineer

Middleton, TX · On-site

$102K - $123K/yr

Proven experience moving data across Bronze, Silver, and Gold layers with clear "Data Contracts." 3. Full Stack & DevOps * CI/CD: Experience automating data pipeline deployments (Git-based workflows)

SECUREAPP

AWS CloudOps Engineer

Plano, TX · On-site

Plano, TX Senior CloudOps Engineer with 6+ years of experience operating carrier-grade AWS and hybrid cloud platforms supporting telecom, data engineering, and high-throughput network workloads.

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Telecom domain experience (preferred, not mandatory)

Qode

$116K - $140K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Telecom domain experience (preferred, not mandatory)

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Telecom domain experience (preferred, not mandatory)

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Telecom domain experience (preferred, not mandatory)

Globe Telecom, Inc.

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

Experience in the telecom, fintech, or enterprise tech sector is a plus. Level of Knowledge: * Advanced proficiency in data engineering tools and frameworks such as Airflow, dbt, and Kafka. Knowledge ...

Infosys Limited Digital

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Preferred Skill and Experience Telecom domain experience or exposure to OSS/BSS, network operations ...

ExlService Holdings, Inc.

Data Engineer

Philadelphia, PA

$115K - $138K/yr

EXL is partnering with a leading telecom client to support and evolve its enterprise data platforms. As a Data Engineer, you will ensure the reliability and performance of critical ETL processes ...

ExlService Holdings, Inc.

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

EXL is partnering with a leading telecom client to support and evolve its enterprise data platforms. As a Data Engineer, you will ensure the reliability and performance of critical ETL processes ...

City of New York

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The IT & Telecom division is seeking a highly skilled, detail-oriented Data Engineer to support the Enterprise Data Science and Engineering Unit (EDSE). EDSE is a specialized team within the Agency ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The IT & Telecom division is seeking a highly skilled, detail-oriented Data Engineer to support the Enterprise Data Science and Engineering Unit (EDSE). EDSE is a specialized team within the Agency ...

Prodapt

Azure Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native ... We are seeking a highly skilled Azure Data Engineer with deep expertise in Microsoft Fabric to ...

City of New York

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Company Description The IT & Telecom division is seeking a highly skilled, detail-oriented Data Engineer to support the Enterprise Data Science and Engineering Unit (EDSE). EDSE is a specialized team ...

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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.

Telecom Data Engineer

Middleton, TX • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$102K - $123K/yr

Contractor

Re-posted 18 days ago

Job description

Skills & Qualifications
1. Technical Core (Databricks & Spark)

  • Expert PySpark/Scala: Deep understanding of Spark internals, broadcast joins, and RDD/Dataframe partitioning.
  • Delta Lake Mastery: Proficiency in Delta features like Z-Ordering, Liquid Clustering, Change Data Feed (CDF), and Time Travel.
  • Streaming Patterns: Hands-on experience with Watermarking, Checkpoints, and handling late-arriving data in Structured Streaming.

2. Data Modeling & Languages

  • SQL: Expert-level SQL for complex transformations and window functions.
  • JSON/Semi-Structured Data: Mastery of parsing and generating complex nested JSON objects within Spark (e.g., struct, array, to_json, from_json).
  • Medallion Design: Proven experience moving data across Bronze, Silver, and Gold layers with clear "Data Contracts."

3. Full Stack & DevOps

  • CI/CD: Experience automating data pipeline deployments (Git-based workflows).
  • Observability: Ability to set up monitoring and alerts using Databricks SQL Alerts or Grafana to track pipeline lag.

4. Soft Skills

  • Architectural Thinking: Ability to decide when to use "Continuous" vs. "AvailableNow" streaming based on cost vs. latency requirements.

Client Focus: Understanding how an API client (e.g., a React app or a microservice) will consume the Gold layer JSON