Senior Data Specialist

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

AWS Data Engineer who will design, build, and maintain robust data pipelines and connectors across AWS and Coveo. This role will have a strong focus on data quality, reliability, and validation, ensuring that data ingested into Coveo and downstream systems is accurate, complete, and production‑ready.

The engineer will work closely with search, data, and platform teams to support enterprise‑scale ingestion pipelines, improve data quality frameworks, and enable high‑quality search and content experiences. Key Responsibilities

Design, develop, and maintain scalable data pipelines on AWS (batch and near‑real‑time). Own data quality validation across pipelines, including Data completeness, freshness, consistency, and accuracy checks Schema validation and anomaly detection Implement automated data quality checks, alerts, and monitoring for pipeline failures or data issues. Collaborate with search and platform teams to ensure high‑quality indexed data for Coveo sources. Contribute to CI/CD pipelines and follow enterprise SDLC and security standards. Produce clear documentation for pipelines, data contracts, and quality rules. Perform in-depth analysis of search-indexed datasets to identify data quality issues to improve relevance, accuracy, and overall search performance.