Data Engineer (Data Pipelines & Modeling)

Warrendale, PA, US • Posted 1 day ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Modeling
  • Database
  • Streaming
  • Database Migration
  • Workforce Planning
  • Service Operations
  • Forecasting
  • Reporting
  • Analytics
  • Data Quality
  • Data Engineering
  • Python
  • SQL
  • Apache Spark
  • Big Data
  • Extract
  • Transform
  • Load
  • ELT
  • Data Warehouse
  • Computer Science
  • Continuous Integration
  • Continuous Delivery
  • Jenkins
  • GitHub
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Health Care

Summary

Responsibilities:
  • Design and implement robust data ingestion pipelines from multiple sources (APIs, databases, files, streaming systems).
  • Support C4C offline database migration, ensuring data accuracy and consistency.
  • Integrate data from enterprise systems into centralized data platforms.
  • Design and implement data models for Workforce planning.
  • Service operations forecasting.
  • Develop optimized schemas for reporting and analytics.
  • Ensure data quality, integrity, and consistency across models.
Requirements:
  • Strong experience in data engineering and pipeline development.
  • Proficiency in Python / SQL.
  • Hands-on experience with Apache Spark or similar big data tools.
  • Strong understanding of ETL/ELT concepts and data warehousing.
  • bility to work independently and in cross-functional teams.
  • Bachelor's / Master's in Computer Science, IT, or related field.
Good to Have:
  • Exposure to CI/CD tools like Jenkins or GitHub Actions.
  • Knowledge of cloud platforms (AWS / Azure / Google Cloud Platform).
  • Experience in healthcare or regulated environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91116760
  • Position Id: 682020bb9c72070636d9501e3b4415ed
  • Posted 1 day ago
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