Data Engineer

Role Overview

Hyland is looking for a skilled and driven Data Engineer to join our team. In this role, you will take ownership of designing, building, and deploying end-to-end data solutions — from pipeline development to production deployment in the cloud. You'll work with large, diverse datasets, apply machine learning concepts, and collaborate with cross-functional teams to deliver meaningful, data-driven insights.

What You Will Do

Design, build, and maintain end-to-end data pipelines from extraction through to operational deployment, supporting scalable and reliable data infrastructure. Perform data integration, validation, and processing across large datasets from diverse sources to enable valuable business insights and analytics.

Why It Might Be a Fit

Strong collaboration and communication skills applied successfully within teams and across all levels of the organization. Self-motivated with the ability to manage projects to completion independently and thrive in a fast-paced, deadline-driven environment.

Requirements

• Bachelor's degree or equivalent experience
• At least 3 years of experience as a Data Engineer with expertise in development and maintenance support
• Strong knowledge of data engineering including data warehouses and ETL
• Proficiency in SQL, Python, and at least one data processing framework (e.g., Spark, Flink, TensorFlow, PyTorch)
• Experience in Data and ML Pipeline orchestration (e.g., Metaflow, MLFlow, AWS Glue)
• Hands-on experience with AWS Data platforms including Terraform and Docker
• Ability to package and deploy code to production cloud environments
• Knowledge of CI/CD tools and experience with monitoring and observability tools (e.g., Datadog, Grafana, Prometheus)
• Knowledge of machine learning concepts and experience applying them in real-world use cases

Benefits

• Benefits
• Variable compensation