Senior Data Engineer | Hybrid (Minneapolis)

Ryan Companies Inc.; Minneapolis, Northern (MN, KY); Hybrid; USD 115,000 - 144,000; Full time

Benefits offered by this job

Medical, Dental and Vision Benefits

Retirement and Savings Benefits

Paid Time Off (PTO)

Flexible Spending and Health Savings

Job summary

Ryan Companies Inc. is seeking a Senior Data Engineer for our Minneapolis headquarters. This 4-days-per-week in-office role includes 1 day of work-from-home weekly, focusing on building scalable data infrastructure enabling analytics and ML across the organization.

You will design and maintain data pipelines on GCP, implement data models, and lead data warehousing efforts while partnering with data scientists and engineers to deliver high-impact solutions.

Qualifications

• Bachelor's or Master's degree in a technical field.
• 5+ years of professional data engineering experience.
• Proficiency in Python and SQL; experience with Cloud platforms.

Responsibilities

• Design and build scalable data pipelines on GCP (BigQuery, Dataflow, Cloud Storage).
• Develop data models including star schemas for BI and analytics.
• Lead data warehousing solutions for efficient storage and retrieval.
• Establish data governance, quality frameworks, and metadata management.
• Create and maintain CI/CD pipelines for data workflows and ML model deployment.
• Collaborate with data scientists, engineers, and analysts to deliver data solutions.
• Provide mentorship and documentation for data engineering practices.

Skills

Python

SQL

GCP

BigQuery

Dataflow

Cloud Composer

ETL/ELT

Data Modeling

Education

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

Tools

Cloud Composer

BigQuery

Dataflow

Job description

Ryan Companies Inc. is seeking a Senior Data Engineer for our Minneapolis headquarters. This 4-days-per-week in-office role includes 1 day of work-from-home weekly, focusing on building scalable data infrastructure enabling analytics and ML across the organization.

You will design and maintain data pipelines on GCP, implement data models, and lead data warehousing efforts while partnering with data scientists and engineers to deliver high-impact solutions.