Senior Data Engineer – In-Office (Minneapolis)

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

Benefits offered by this job

Competitive Salary

Health, Dental and Vision Benefits

PTO/Paid Time Off

Education Assistance

Job summary

Ryan Companies US Inc. in Minneapolis seeks a Senior Data Engineer to join the headquarters team.

This 4-days-per-week in-office role includes 1 day remote and centers on building scalable data pipelines on Google Cloud Platform to support analytics, ML, and decision intelligence. You will collaborate with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design modern data solutions and ensure data quality and accessibility across the enterprise.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of professional experience in data engineering or a similar role.
• Strong programming skills in Python and SQL, with experience in Cloud-native tooling like Cloud Composer.

Responsibilities

• Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) using BigQuery, Dataflow, and Cloud Storage.
• Design and implement data models (star schemas, dimensional modeling) for BI and analytics.
• Develop and manage data warehousing solutions ensuring efficient storage, retrieval, and cost-effectiveness.
• Write clean, well-documented Python and SQL code for large datasets; monitor and optimize pipeline performance.

Skills

Python

SQL

Data modeling

Leadership

Education

Bachelor's or Master's degree

Tools

BigQuery

Dataflow

Cloud Composer

Airflow

Job description

Ryan Companies US Inc. in Minneapolis seeks a Senior Data Engineer to join the headquarters team.

This 4-days-per-week in-office role includes 1 day remote and centers on building scalable data pipelines on Google Cloud Platform to support analytics, ML, and decision intelligence. You will collaborate with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design modern data solutions and ensure data quality and accessibility across the enterprise.