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Data Engineer

Hybrid in Pittsburgh, PA, US • Posted 12 hours ago • Updated 12 hours ago

Full Time

No Travel Required

Hybrid

$100,000 - $110,000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Engineering
Data Governance
Data Modeling
DevOps
Git
Jenkins
Extract, Transform, Load
Python
SQL
ELT
Big Data
PySpark
Docker
CI/CD

Summary

Job Summary

Looking for a highly skilled Data Engineer with 6+ Years of strong expertise in Python and SQL, along with hands-on experience in DevOps and CI/CD practices. The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
Build and optimize data ingestion and transformation frameworks for large datasets
Develop robust solutions for data processing, validation, and quality assurance
Implement CI/CD pipelines and DevOps practices for data engineering workflows
Automate data pipelines, deployment, and monitoring processes
Work with cross-functional teams to understand business requirements and deliver data solutions
Troubleshoot and optimize performance of data pipelines and systems

Must-Have Skills

Hands-on experience in Python and SQL
Experience in data engineering concepts: ETL/ELT, data modeling, data warehousing
Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.)
Experience in building production-grade data pipelines
Strong debugging, problem-solving, and optimization skills

Good to Have

Experience with PySpark / Big Data technologies
Exposure to cloud platforms.
Knowledge of workflow orchestration tools (Airflow, etc.)
Understanding of data governance and quality frameworks

Qualification:

Bachelor’s degree in related field

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: 91130423
Position Id: 9008036
Posted 12 hours ago

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