Data Engineer

Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America.

Position Purpose

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support enterprise analytics, reporting, and AI initiatives. This role ensures the availability, quality, and reliability of data by integrating diverse sources into secure and optimized data platforms. Working closely with data scientists, analysts, and business stakeholders, the Data Engineer enables data-driven decision-making across the organization.

Responsibilities

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.

Requirements

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 required.; 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.; 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 services in Cloud Big Data platforms such as BigQuery and Snowflake.