Platform Data Engineer: AWS, Databricks & PySpark

Blueface Ltd; Chester (Delaware County); On-site; USD 120,000 - 180,000; Full time

Job summary

Comcast is seeking a Data Engineer (Engineer 3) to join the Data Product Engineering Team responsible for the enterprise Data Lake that supports critical datasets across the GTO organization. The role focuses on building scalable, reliable data solutions for analytics, reporting, and business decision-making using AWS, PySpark, Databricks, Kafka, Kubernetes, and Airflow.

The ideal candidate will have 5+ years of data engineering and distributed systems experience, and will collaborate with

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in Data Engineering, Data Platform Engineering, or related disciplines.
• Strong hands-on experience with: AWS PySpark Databricks Experience building and maintaining large-scale ETL/ELT pipelines.
• Strong understanding of distributed systems and large-volume data processing.
• Experience with data warehousing concepts and modern data architectures.
• Experience orchestrating workflows using Apache Airflow/MWAA.
• Knowledge of Kubernetes fundamentals, including pod lifecycle, job orchestration, and workload configuration.
• Proficiency in Python development within data engineering environments.
• Experience supporting production data platforms and driving operational excellence.
• Strong communication and collaboration skills with the ability to work effectively across multiple teams.

Responsibilities

• Design, develop, maintain, and optimize scalable data pipelines supporting workforce, billing, interaction, and other enterprise datasets.
• Build and enhance cloud-native data solutions using AWS, Databricks, and PySpark.
• Develop and support batch and streaming data processing frameworks, integrating source systems and interfaces through modern data architectures.
• Leverage technologies such as Kafka and Databricks streaming solutions to ingest and process high-volume data in near real-time.
• Drive data pipeline performance tuning, automation initiatives, and operational improvements across the platform.
• Provide production support, troubleshooting, and root-cause analysis for critical data workflows.
• Work with large-scale distributed systems and high-concurrency environments processing tens of terabytes of data.
• Utilize MWAA (Managed Workflows for Apache Airflow) to orchestrate and manage data workflows.
• Collaborate closely with Product, Data Governance, Analytics, and Engineering teams across both onshore and offshore delivery models.
• Support data warehousing initiatives and help establish best practices for data quality, scalability, and reliability.
• Mentor junior engineers, provide technical guidance, and contribute to the growth and development of Engineering I team members.
• Participate in architectural discussions and contribute to the long-term evolution of the enterprise data platform.

Skills

AWS

Apache Airflow

Communication

Databricks Platform

PySpark

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Kubernetes

Snowflake

Amazon EKS

Kafka

MWAA (Airflow)

Job description

Comcast is seeking a Data Engineer (Engineer 3) to join the Data Product Engineering Team responsible for the enterprise Data Lake that supports critical datasets across the GTO organization. The role focuses on building scalable, reliable data solutions for analytics, reporting, and business decision-making using AWS, PySpark, Databricks, Kafka, Kubernetes, and Airflow.

The ideal candidate will have 5+ years of data engineering and distributed systems experience, and will collaborate with