Data Engineer

Job Description

Job ID

QI048

Experience Level

Entry / Early Career (6 months – 1 year)

Location

West Windsor, NJ, USA

Employment Type

Full-Time

About the role

The Data Engineer will design and implement cloud migration strategies, leveraging Microsoft Azure services to move and manage enterprise data. This role involves building data pipelines, transforming and partitioning datasets, and ensuring secure storage and transfer of data. The engineer will work with Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, and Azure Blob Storage, implementing best practices for data auditing, masking, and encryption. Frequent travel to client locations may be required.

Key Responsibilities

  • Design and implement migration strategies for traditional systems to Azure cloud.
  • Develop pipelines in Azure Data Factory (ADF) using linked services to extract, transform, and load data from multiple sources, including Azure SQL, Blob Storage, and SQL Data Warehouse.
  • Implement ADF operations and deployment to move data from on-premises to cloud environments.
  • Develop Spark (PySpark, SQL) notebooks for data transformation, partitioning, and file organization in Azure Data Lake Storage (ADLS).
  • Ensure data security through auditing, data masking, and encryption for data at rest and in transit.
  • Collaborate with teams to maintain data quality and optimize pipeline performance.
  • Frequent travel to unanticipated client locations as required.

Required Qualifications

  • Master’s degree or foreign equivalent in Computer Science, Computer Information Systems, or related field.
  • Minimum 6 months of relevant work experience in data engineering or cloud data solutions.
  • Proficiency in Azure cloud services, including ADF, ADLS, Azure SQL, Blob Storage, and Data Warehouse.
  • Experience with ETL processes and building scalable data pipelines.
  • Knowledge of Spark (PySpark, SQL) for data transformation and processing.

Preferred Skills

  • Understanding of data security best practices, including auditing, masking, and encryption.
  • Strong analytical and problem-solving skills for cloud data environments.
  • Ability to work independently and collaborate with cross-functional teams.
  • Familiarity with cloud migration strategies and performance optimization in Azure.

What We Offer

  • Competitive salary and performance-based bonuses.
  • Comprehensive health insurance.
  • Learning and professional development opportunities.
  • Flexible working hours and remote work options.

Application Process

TESTIMONIALS

Hear From Our Happy Clients
David Hernandez
David HernandezFounder & CEO
Quantum Integrators quickly grasped our complex workflow and designed a customized solution that fit our timelines and compliance needs. Their collaborative approach and meticulous execution improved reliability and reduced manual interventions across critical systems.
Michael Roberts
Michael RobertsDirector of Operations
Working with Quantum Integrators felt like adding an internal center of excellence — they tailored solutions, optimized processes, and provided ongoing support. The result: faster deployments, stronger stability, and clearer operational visibility.
Evelyn Reed
Evelyn ReedTechnical Director
They delivered a pragmatic roadmap and executed with precision, aligning technology choices to our business goals. Communication was transparent throughout, and after deployment we experienced measurable gains in uptime and operational efficiency.
Mark Foster
Mark FosterTechnical Director
The team’s hands-on expertise and attention to detail eased our migration to a modern stack. Their tailored automations reduced error rates and freed our engineers to focus on strategic priorities — a productivity boost.
Sarah Jenkins
Sarah JenkinsProgram Manager
Their deep understanding of our unique operational challenges and the tailored solutions they provided surpassed our expectations. From planning to execution, the professionalism and efficiency displayed were exceptional. We’ve seen significant improvements in our system’s performance.

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