Data Engineer - Business Automation & Analytics

Xylem • Charlotte, NC

4d

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 Xylem is seeking a Data Engineer – Business Automation & Analytics to join our global team. This role builds and supports data and analytics platforms that power Finance, Operations, and Customer tools across the organization. The Data Engineer is responsible for critical design, support, and management of key internal data platform applications. You’ll design, develop, and maintain scalable data pipelines, dashboards, and automations that enable smarter, data-driven decisions supporting Xylem’s mission

Requirements

• Bachelor’s degree in Data Engineering, Business Information Systems, or related field
• 3+ years hands on experience building and maintaining data pipelines or ETL jobs
• Experience with PostgreSQL (preferred) or other RDBMS
• Familiarity with Linux / Red Hat environments and version control (Git)
• Understanding of ERP, CRM, and MRP data models (Dynamics, Salesforce, etc.)
• Experience with Power BI or similar BI tools (DAX, data modeling)
• Solid communication, documentation, and follow through

Responsibilities

• Design and build data pipelines that aggregate and clean data from multiple sources (DB2, Dynamics AX, Progress OpenEdge, Oracle, Salesforce, etc.)
• Develop and optimize SQL models in PostgreSQL
• Automate transformations and workflow orchestration using Airflow / Python
• Deploy and maintain analytics infrastructure across Dev / Test / Prod Linux environments
• Design and publish Power BI datasets and dashboards using DAX and SQL
• Partner with process owners and business leads to define metrics and improve data quality
• Document data flows and automation logic to ensure maintainability and transparency
• Troubleshoot performance and data issues across systems and environments

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees