Remote Senior Data Engineer - AI-Driven Data Pipelines

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United States

On-site

USD 37,000 - 58,000

Full time

14 days+
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Benefits offered by this job

Bonus incentives
401K
Paid time off
Stock purchase program
Health and wellness coverage
Work-life balance flexibility

Job summary

Charles River Laboratories is seeking a Senior Data Engineer for a remote role to drive AI-ready data platforms and scalable ETL pipelines. You will collaborate with data scientists and stakeholders to deliver robust datasets, secure data governance, and cost-efficient Azure cloud solutions.

You will lead data engineering efforts in a cross‑functional, global team, mentoring engineers and advancing analytics capabilities across the organization.

Qualifications

  • Bachelor’s degree in computer engineering, Computer Science, or a related discipline.
  • 7+ years of experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi‑dimensional data warehousing environment.
  • 7+ years of advanced SQL programming expertise (PL/SQL, T‑SQL)
  • 5+ years of experience in Enterprise Data & Analytics solution architecture
  • 3+ years of experience in Python programming
  • 3+ years of hands‑on experience with Azure for data/analytics apps
  • 3+ years of experience with Azure services: Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions
  • 2+ years of experience designing data models
  • 2+ years of experience defining and implementing data security standards

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.
  • Implement and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Delta Lake.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Ensure data security, compliance, and governance with RBAC and encryption.
  • Monitor and troubleshoot data workflows, ensuring performance and cost-efficiency in Azure.
  • Automate data integration and transformation tasks using Azure Functions and Logic Apps.
  • Mentor junior engineers and foster a collaborative team environment.

Skills

ETL design
Advanced SQL
Python programming
Data modeling
Cloud data platforms
Cross-functional collaboration
Mentoring juniors

Education

Bachelor’s degree in Computer Science or Computer Engineering

Tools

Azure Data Factory
Azure Databricks
Azure Data Lake Gen2
Azure SQL Database
Delta Lake
Cosmos DB
Blob Storage

Job description

Charles River Laboratories is seeking a Senior Data Engineer for a remote role to drive AI-ready data platforms and scalable ETL pipelines. You will collaborate with data scientists and stakeholders to deliver robust datasets, secure data governance, and cost-efficient Azure cloud solutions.

You will lead data engineering efforts in a cross‑functional, global team, mentoring engineers and advancing analytics capabilities across the organization.

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