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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Business Automation & Analytics - **Company:** Xylem Inc. - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Performance, Airflow, Data Analysis, Microsoft Dynamics AX, Customer Data Management, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, IBM DB2, Relational Databases, Linux, Document-Oriented Databases, Python (Programming Language), PostgreSQL, Linux System Administration, Progress OpenEdge (IDE), Oracle (Applications), Performance Tuning, Red Hat Enterprise Linux, Power BI, Salesforce.Com, SQL Databases, Sql Optimization, Apache Spark, Git, Build Management, Data Analytics, Software Version Control, Data Pipelines - **Published:** June 11, 2026 - **Apply:** https://www.juju.com/job/00000000g72oy6 ## About the Role Must-haves: **Heavy SQL/PostgreSQL, Airflow (pipelines/orchestration), Python, ERP/CRM data in finance/ops, Linux (on-prem familiarity).**, + 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 + Advanced SQL proficiency with hands-on experience transforming data in relational databases (PostgreSQL strongly preferred) + 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 WHAT SUCCESS LOOKS LIKE You are comfortable spending most of your time writing and optimizing SQL against relational databases, transforming complex ERP and finance data into clean, trusted datasets. You think in terms of relational modeling, query performance, and data quality - not distributed compute frameworks or cloud-native ingestion patterns. ## Description 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. **NOTE: This is a SQL-first role focused on data transformation and analysis within relational databases, particularly ERP and finance systems. It is not a Spark- or cloud-first data engineering position.** The majority of day-to-day work is performed in SQL, designing and optimizing relational data models that serve analytics and reporting needs. 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, + Design and build SQL-centric, relational datapipelines that aggregate and clean data from multiple sources (DB2, Dynamics AX, Progress OpenEdge, Oracle, Salesforce, etc.) + Develop, optimize and maintain and maintain complex SQL-based relational models s in PostgreSQL + Orchestrate and automate SQL-driven transformations using Airflow and 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)