Arbor TekSystems

Telecom ETL Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Telecom ETL Data Engineer, a contract position based in West Chester, PA. Requires telecom domain experience, expertise in PySpark, Databricks, and Python, plus knowledge of CI/CD and orchestration tools. Visa-independent candidates preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
West Chester, PA
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🧠 - Skills detailed
#Data Engineering #PySpark #Delta Lake #"ETL (Extract #Transform #Load)" #Airflow #Python #Spark (Apache Spark) #Cloud #Azure #Databricks #Spark SQL #GIT #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Stories #Version Control #Programming #AWS (Amazon Web Services) #Kafka (Apache Kafka)
Role description
Role:- Telecom ETL Data Engineer- Location:- West Chester, PA Onsite Role type :- Contract Required Skills : Must Have Telecom Domain Experience. Only looking Visa Independent and Permanent Resident Technical Skills • Strong expertise in PySpark, Spark SQL, Spark Streaming. • Proven experience building pipelines in Databricks (Delta Lake, Jobs, Clusters). • Solid Python programming and modular ETL development experience. • Experience with telecom systems, data domains, and operational workflows. • Knowledge of CI/CD, version control (Git), and cloud platforms (Azure/AWS/GCP). • Experience with orchestration tools such as Rundeck, Airflow, or Control-M. Soft Skills • Excellent articulation and structured communication. • Ability to simplify complex data concepts into business-friendly narratives. • Strong problem-solving, analytical, and decision-making skills. • Ability to lead conversations with senior stakeholders. • A natural storyteller with the ability to craft architecture and data stories. Preferred Qualifications • Background working with large telecom providers (e.g., Comcast/Xfinity, AT&T, Verizon, etc.). • Experience with event-driven architecture, Kafka, or real-time streaming. • Understanding of telecom KPIs, customer journeys, and operational systems. • Experience in performance tuning of Spark workloads.