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Data Engineer

Job

ProcyonIT

Pittsburgh, PA (In Person)

$114,400 Salary, Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/14/2026

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Job Description

Data Engineer ProcyonIT Pittsburgh, PA Job Details Full-time $50 - $60 an hour 3 hours ago Qualifications Data model design Commercial use (data warehousing systems) Data modeling projects ETL pipeline development Spark Schema design
Snowflake SQL AWS Python Full Job Description Job Title:
Data Engineer Skills:
Python | SQL |
NoSQL Experience:
3-7
Years Employment Type:
Full Time /
Contract Work Mode:
Onsite Authorization:
USC Job Summary We are looking for a talented and experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support business intelligence and analytics needs. Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models for both relational and non-relational databases Write efficient Python scripts for data extraction, transformation, and loading Collaborate with data scientists and analysts to understand data requirements Ensure data quality, consistency, and integrity across all data platforms Monitor and troubleshoot data pipeline performance and failures Implement best practices for data security and governance Work with cloud platforms (AWS/Azure/GCP) for data storage and processing Required Skills Strong proficiency in Python for data engineering and automation Hands-on experience with SQL databases (PostgreSQL, MySQL, MS SQL Server) Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB, or Redis) Knowledge of data warehousing concepts and data modeling Experience with big data tools (Spark, Kafka, Airflow) is a plus Familiarity with cloud platforms (AWS, Azure, or GCP) Strong problem-solving and analytical skills Nice to Have Experience with dbt, Snowflake, or Databricks Knowledge of data governance and data quality frameworks Exposure to machine learning pipelines
Pay:
$50.00 - $60.00 per hour
Work Location:
In person