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# Data Engineer

- **Company:** Veolia North America, LLC
- **Location:** Paramus, NJ, United States (Remote available)
- **Salary:** $169,541.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Bash Shell, Cloud Computing, Computer Engineering, Continuous Integration, Data Architecture, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Database Development, Software Design Patterns, DevOps, Python (Programming Language), Data Streaming, Git, Information Technology, Data Pipelines, Docker
- **Published:** August 7, 2026
- **Apply:** https://www.juju.com/job/00000000glxtlu

## About the Role

The position requires 5 years of progressively responsible post-bachelor's degree experience in a related occupation.

### Minimum Education Required

The position requires a Bachelor's degree, or foreign degree equivalent, in Computer Science, Computer Engineering, Business Analytics, The position requires a Bachelor's degree, or foreign degree equivalent, in Computer Science, Computer Engineering, Business Analytics, or a related field and 5 years of progressively responsible post-bachelor's degree experience in a related occupation. Alternatively, a Master's degree, or foreign degree equivalent, in Computer Science, Computer Engineering, Business Analytics, or a related field and 3 years of experience in a related occupation required. The position also requires: 2 years of experience of development in Python; 1 year of experience supporting with production environments in a DevOps environment; 2 years experience with SQL development; 1 year of experience with bash scripting; 1 year of experience with Git, CI/CD, and Docker; 1 year experience with data modeling; 1 year experience with CDC design patterns; 1 year experience with DAG workflows orchestration, including Apache Airflow, or Prefect; and 1 year experience deploying and running

## Description

Veolia Water M&S (Paramus), Inc. seeks a Data Engineer in Paramus, NJ to design, develop, and maintain data infrastructure, ensuring reliable and efficient data flow across the organization. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that support data-driven decision-making. Responsible for building and optimizing data pipelines, integrating data from various sources, and ensuring data quality and integrity. Understand data architecture, ETL processes, and cloud technologies to support scalable and robust data platform.


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