Data Engineer: Build Scalable Pipelines & Cloud Data

Berkeley Industrial Engineering & Operations Research; Indiana (PA); On-site; USD 85,000 - 125,000; Full time

Job summary

Berkeley Industrial Engineering & Operations Research in the United States seeks a mid-level Data Engineer to design and maintain scalable data pipelines, ETL/ELT processes, and data models across client projects.

The role emphasizes cloud platforms, Python and SQL, collaboration with data scientists, analysts, and engineers to deliver reliable, business-ready data for decision support and analytics initiatives.

Qualifications

• 1–5 years of professional experience in Data Engineering or a related field.
• Strong programming experience with Python and/or similar languages.
• Strong proficiency in SQL and relational databases.
• Hands-on experience with ETL/ELT concepts and data pipeline development.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehousing and data modeling.
• Familiarity with distributed data processing technologies such as Apache Spark.
• Experience working with Git and software development best practices.
• Strong analytical, troubleshooting, and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Develop data ingestion, transformation, and integration processes.
• Work with structured and unstructured datasets from multiple sources.
• Build and optimize data warehouses, data lakes, and data models.
• Develop SQL queries and optimize database performance.
• Work with cloud-based data platforms and services.
• Collaborate with data scientists, analysts, software engineers, and business stakeholders.
• Monitor data pipelines and troubleshoot data quality or performance issues.
• Implement data validation, quality, security, and governance practices.
• Automate data workflows and improve overall pipeline reliability.
• Document data processes, architecture, and technical solutions.

Skills

Python

SQL

Git

Analytical thinking

Communication

Tools

Databricks

Snowflake

Apache Airflow

Kafka

Hadoop

AWS

Azure

GCP

Docker

Kubernetes

CI/CD pipelines

Data governance tools

Job description

Berkeley Industrial Engineering & Operations Research in the United States seeks a mid-level Data Engineer to design and maintain scalable data pipelines, ETL/ELT processes, and data models across client projects.

The role emphasizes cloud platforms, Python and SQL, collaboration with data scientists, analysts, and engineers to deliver reliable, business-ready data for decision support and analytics initiatives.