Data Engineer

  • Philadelphia, PA
  • Posted 2 days ago | Updated moments ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)

Skills

Amazon EC2
Amazon Redshift
Amazon S3
Amazon Web Services
Analytical Skill
Cloud Computing
Collaboration
Communication

Job Details

We are looking for a Data Engineer for our client in Philadelphia. PA
Job Title: Data Engineer
Job Location: Philadelphia. PA
Job Type: Contract
Job Description:
Pay Range: $60hr - $65hr

Responsibilities:

  • Design, build, test, and maintain scalable data management systems and ETL/ELT pipelines using PySpark and Databricks.
  • Utilize AWS cloud services for data storage, computation, and orchestration.
  • Collaborate with stakeholders to analyze data and identify trends, patterns, and insights related to customer behavior, network performance, and product usage.
  • Apply analytical techniques to use cases such as churn prediction, network experience optimization, personalization, and service improvement.
  • Develop dashboards and visual reports using Tableau or Power BI for both technical and non-technical audiences.
  • Ensure data quality, consistency, and governance across all platforms.
  • Mentor junior team members and collaborate with product, marketing, and engineering teams to implement data-driven solutions.
Requirement/Must Have:
  • Bachelor s or Master s degree in Computer Science, Engineering, Statistics, or a related field.
  • 5+ years of experience in data engineering or data analytics, working with large-scale data ecosystems.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with PySpark and Databricks.
  • Expertise in AWS cloud services (S3, EC2, Redshift, EMR).
  • Experience developing reports and dashboards with Tableau or Power BI.
Should Have:
  • Strong analytical and problem-solving skills.
  • Ability to translate business requirements into technical solutions.
  • Experience in the telecommunications industry, especially related to customer experience.
  • Familiarity with statistical analysis and machine learning concepts.
  • Excellent communication skills, capable of presenting technical ideas to non-technical stakeholders.
  • Independent and proactive work approach with a strong sense of curiosity.
Qualification and Education:
  • Bachelor s or Master s degree in Computer Science, Data Engineering, Statistics, or related quantitative discipline.
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