Senior Data Engineer - DataOps & Cloud Pipelines

Huron; Oregon; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Huron is seeking a Data Engineer to support 10+ client environments, ensuring reliable data pipelines and client-facing apps. You will handle SFTP ingestion, AWS lake operations, and deployment support, working with the DataOps lead.

You'll join a team spanning DataOps, DevOps, and delivery engineering, configuring new client environments, triaging issues, and ensuring data loads land correctly across environments.

Qualifications

• U.S. work authorization required.
• 2-3+ years in data engineering, DevOps, or DataOps roles, with production data pipelines experience.
• Experience with AWS data pipeline infrastructure (S3, Athena, Lambda, EC2, event-driven architectures).

Responsibilities

• Operate and monitor daily data processing pipelines across multiple client environments.
• Set up deployments and support go-live stabilization and post-launch monitoring.
• Build and maintain client-specific data ingestion pipelines and validation scripts.
• Participate in incident response and root cause analysis for data pipelines and applications.

Skills

Python scripting

CI/CD pipelines

DataOps experience

Incident response

Multi-tenant awareness

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

AWS

Jenkins

Git

Snowflake

Posit Connect

Job description

Huron is seeking a Data Engineer to support 10+ client environments, ensuring reliable data pipelines and client-facing apps. You will handle SFTP ingestion, AWS lake operations, and deployment support, working with the DataOps lead.

You'll join a team spanning DataOps, DevOps, and delivery engineering, configuring new client environments, triaging issues, and ensuring data loads land correctly across environments.