Data Engineer

Princeton, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Engineer

Location: Princeton NJ (Hybrid/On-site)

Full-time

About the Role:

We are seeking a highly skilled Data Engineer with 5 7 years of experience to design develop and optimize data pipelines ETL processes and cloud-based data platforms. The ideal candidate has strong problem-solving abilities hands-on experience with modern data engineering tools and a solid understanding of data architecture and analytics workflows.

Key Responsibilities:

Design build and maintain scalable ETL pipelines data ingestion processes and data transformation workflows.
Develop and manage Data Lakes Data Warehouses and cloud-based data platforms.
Work with platforms such as Azure Data Factory AWS Glue or similar orchestration tools to automate data workflows.
Build optimize and maintain SQL queries stored procedures and database structures.
Collaborate with data scientists analysts and business stakeholders to deliver reliable high-quality datasets.
Ensure data quality integrity and security across multiple systems and environments.
Implement best practices for data governance metadata management and data cataloging.
Monitor and troubleshoot data pipelines to ensure high availability and performance.
Participate in Agile ceremonies code reviews and continuous improvement initiatives.

Required Qualifications:

5 7 years of hands-on experience as a Data Engineer or similar role.
Strong proficiency in ETL development data integration and pipeline orchestration.
Experience with Data Lakes Data Warehouses and distributed data processing.
Hands-on experience with Azure Data Factory AWS Glue or equivalent tools.
Strong SQL skills with the ability to write complex queries and optimize performance.
Experience with Python or Scala for data processing tasks.
Familiarity with cloud platforms (Azure AWS or GCP) and data storage solutions.
Experience with version control tools (Git) and CI/CD pipelines.
Understanding of data modeling (dimensional relational) and BI concepts.

Preferred Skills:

Experience with Big Data technologies (Spark Databricks Hadoop).
Knowledge of Azure Synapse Snowflake Redshift or BigQuery.
Background in API integrations streaming technologies (Kafka EventHub) or real-time data pipelines.
Experience with data quality frameworks and monitoring tools.
Understanding of security and compliance standards (PII HIPAA GDPR).

Education:

Bachelors or Masters degree in Computer Science Information Systems Engineering or related field (or equivalent practical experience).

Job Title: Data Engineer Location: Princeton NJ (Hybrid/On-site) Full-time About the Role: We are seeking a highly skilled Data Engineer with 5 7 years of experience to design develop and optimize data pipelines ETL processes and cloud-based data platforms. The ideal candidate has strong problem-s...