Data Engineer

Design, develop, and optimize scalable data pipelines.

Build data solutions for evolving consumer and business requirements.

Develop and maintain cloud-based data engineering solutions on AWS.

Use Snowflake for enterprise data storage and processing.

Create dashboards and support data consumption across platforms.

Implement and enhance monitoring, observability, and operational excellence practices.

Monitor production workflows and respond to incidents, including through PagerDuty.

Collaborate with business and technology teams to deliver reliable data products.

6+ years of data engineering experience.

Strong hands-on expertise with AWS data engineering services.

Proven experience with PySpark, AWS Glue, Snowflake, SQL, and Databricks.

Experience building and supporting enterprise-scale data pipelines.

Knowledge of dashboard development, monitoring, and observability solutions.

Comfort working in production environments and supporting critical data workflows.

Ability to work onsite three days per week in McLean, VA or Riverwoods, IL.