Data Engineer
Xylem•Morrisville, NC
•Hybrid
About The Position
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.
Benefits
- Paid Volunteer Program, Xylem Watermark
- Employee Resource Groups (ERG)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
