Data Engineer

Hybrid in Pittsburgh, PA, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • "data engineer"

Summary

Overview

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure reliable data availability, quality, and performance across the organization.


Key Responsibilities

  • Design, develop, and maintain robust data pipelines and ETL/ELT processes
  • Build and optimize data architectures, data lakes, and data warehouses
  • Ensure data quality, integrity, and governance across multiple sources
  • Collaborate with cross-functional teams to understand data requirements
  • Integrate data from various sources including APIs, databases, and third-party systems
  • Monitor and troubleshoot data workflows and performance issues
  • Implement data security and compliance best practices
  • Support real-time and batch data processing systems
  • Document data processes, models, and architecture

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 3+ years of experience in data engineering or related role
  • Strong proficiency in SQL and Python (or similar languages)
  • Experience with ETL tools and frameworks
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Knowledge of data warehousing concepts and data modeling
  • Experience with big data technologies (e.g., Spark, Hadoop)
  • Familiarity with version control systems (e.g., Git)
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: 10180535
  • Position Id: 8932876
  • Posted 7 hours ago
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