Product Data Engineer: Data Pipelines & Observability

Careers; Lisle (IL); On-site; USD 130,000 - 170,000; Full time

Job summary

Careers is seeking a Product Data Engineer -- Service Sales & Performance to design and support reliable data pipelines, data models, and operational data products across enterprise systems. The role emphasizes data quality, lineage, observability, and production support to enable accurate service pricing and entitlements.

The successful candidate will work with APIs, batch pipelines, and event-driven patterns to integrate data and support analytics for service products, contracts, and orders.

Qualifications

• Advanced SQL and Python skills with software engineering practices.
• Experience with Databricks, Azure Data Services, and Lakehouse architectures.
• Experience with service products, configuration and pricing, order management, contracts, subscriptions, entitlements, maintenance, or warranty processes.
• Hands-on design and operation of production data pipelines, data models, and operational data products.
• Strong data quality controls, reconciliation, monitoring, and exception management.
• Experience integrating data using APIs, batch pipelines, change data capture, or event-driven patterns.
• Strong understanding of data lineage, testing, observability, access controls, and production support.
• Ability to translate business processes and rules into technical data requirements and models.

Skills

SQL

Python

Databricks

Azure Data Services

Data pipelines

Data models

Data quality controls

APIs

Change data capture

Event-driven patterns

Data governance

Education

Advanced degree in Computer Science, Engineering, Information Systems, Analytics, or related discipline

Tools

Palantir Foundry

Pega

SAP

Hadoop

DB2

ServiceNow

Job description

Careers is seeking a Product Data Engineer -- Service Sales & Performance to design and support reliable data pipelines, data models, and operational data products across enterprise systems. The role emphasizes data quality, lineage, observability, and production support to enable accurate service pricing and entitlements.

The successful candidate will work with APIs, batch pipelines, and event-driven patterns to integrate data and support analytics for service products, contracts, and orders.