Data Engineer

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.

• 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.

• 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).

• 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.

• Work Environment: Hybrid or office-based environment supporting collaboration with engineering teams and stakeholders.

• Travel Requirements: Minimal travel may be required based on team or project needs.

At Xylem, you'll not only contribute to solving water issues but also have the chance to make a difference through our paid Volunteer Program, Xylem Watermark. We prioritize our employees' well-being through inclusion and belonging as well as our Employee Resource Groups (ERG). Proud to be an Equal Employment Opportunity (including disability and veterans) and Affirmative Action workplace, Xylem fosters an inclusive environment free from discrimination or harassment. 

Please note that the information in this job description outlines the general nature of the position and is not an exhaustive list of duties. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. We reserve the right to modify this job description and assign additional duties as needed. Embrace the opportunity to be part of Xylem's transformative journey in shaping the future of water technology! #XylemCareers #GlobalImpact #WaterInnovation