Data Engineer

Xylem•Morrisville, NC

2d•Hybrid

About The Position

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. The Role As a Data Engineer, you will lead data engineering efforts for the RF Network Optimization and Reporting team by building and modernizing scalable data pipelines and integration frameworks. You will design, develop, and maintain API-driven data ingestion workflows that support Application Engineers and Optimization Engineers, enabling high-quality, customer-facing insights. This role combines hands-on engineering with cross-functional collaboration in an IoT and network-driven environment.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering or data analysis.
Strong proficiency in Python for data processing and pipeline development.
Experience working with API integrations, including RESTful services and webhooks.
Strong knowledge of SQL and relational databases.
Experience with cloud-based data platforms (e.g., Azure, Microsoft Fabric, Superset, or similar).

Nice To Haves

Experience with Advanced Metering Infrastructure (AMI) or RF network environments.
Experience with data orchestration tools such as Airflow or Prefect.
Experience working with streaming data platforms (e.g., Kafka, Event Hubs, Pub/Sub).
Familiarity with Atlassian tools (Jira, Confluence, Bitbucket).
Exposure to containerization technologies (Docker, Podman).
Knowledge of version control (Git) and CI/CD practices.
Familiarity with ITIL practices and frameworks.

Responsibilities

Design and implement scalable data pipelines that ingest data from RESTful APIs, streaming sources, and third-party platforms.
Develop and maintain workflows using Python, Microsoft Fabric, and/or Power Platform to process structured and unstructured data.
Collaborate with Application Engineers and Network Optimization Engineers to understand requirements and deliver high-quality datasets for customer-facing reporting.
Optimize data ingestion, transformation, and storage processes for performance, scalability, and cost efficiency.
Ensure data quality, integrity, and security across all pipelines and integrations.
Monitor, troubleshoot, and maintain data workflows, API integrations, and system performance.
Document data processes, schemas, and integration logic for internal stakeholders.