Data Engineer

Ryan Companies US Inc; Minneapolis (MN); On-site; USD 90,000 - 113,000; Full time

Benefits offered by this job

Medical, Dental and Vision Benefits

Retirement and Savings Benefits

Flexible Spending and Health Savings Accounts

Life Insurance

Paid Time Off (PTO)

Educational Assistance

Employee Assistance and Wellness Programs

Employee Discount Programs

Pet insurance

Paid Time for Volunteer Events

Job summary

Ryan Companies US Inc. is seeking a Data Engineer to focus on developing scalable, reliable data pipelines at our Minneapolis headquarters. Responsibilities include utilizing GCP services to build data pipelines, data modeling, and maintaining data quality.

The ideal candidate will have a strong background in Python, SQL, and experience with platforms like GCP. Competitive salary and benefits offered including medical, dental, and PTO will be provided.

Qualifications

• 3+ years of professional experience in data engineering or a similar role.
• Strong programming skills in Python and SQL, with experience using tools such as Cloud Composer.
• Proven experience designing and maintaining data pipelines using platforms like GCP.

Responsibilities

• Design and build scalable data pipelines on Google Cloud Platform.
• Implement effective data models to support business intelligence.
• Develop and manage data solutions for efficient storage and retrieval.

Skills

Python

SQL

Data pipelines

GCP

Cloud Composer

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field

Tools

BigQuery

Dataflow

Cloud Storage

Apache Airflow

Job description

Data Engineer

Location: Minneapolis headquarters office (in‑office 4 days per week, 1 day work‑from‑home).

Overview

Ryan Companies has an immediate need for a Data Engineer. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan.

Responsibilities

• Design and build scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data).
• Design and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics.
• Develop and manage data solutions to ensure efficient data storage, retrieval, and cost‑effectiveness.
• Contribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets.
• Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow.
• Implement and manage both batch and real‑time data streaming pipelines to ensure timely and accurate data availability for downstream applications.
• Write clean, efficient, and well‑documented Python and SQL code to process and transform large, complex datasets.
• Monitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability.
• Implement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems.
• Develop and implement data validation and testing procedures to maintain the highest standards of data integrity.
• Establish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations.
• Build and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows.
• Support the deployment and monitoring of machine learning models by implementing reproducible and traceable data environments.
• Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.
• Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs.
• Lead the implementation of data solutions, from discovery and design through to deployment.
• Collaborate with other data engineers, fostering a culture of knowledge sharing and continuous improvement.
• Create and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 3+ years of professional experience in data engineering or a similar role.
• Strong programming skills in Python and SQL, with experience using tools such as Cloud Composer.
• Proven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar.

Preferred Skills

• Experience building data infrastructure and services in cloud‑native environments (GCP preferred).
• Exposure to domain‑driven architecture.
• Strong collaboration and communication skills with a track record of partnering across functions to deliver high‑impact solutions.

Compensation

The base pay range is $90,000-$113,000 per year. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities.

Position may be eligible for additional compensation that may include commission and/or an incentive program.

Eligibility

Position requires verification of employment to work in the U.S.

Benefits

• Competitive Salary
• Medical, Dental and Vision Benefits
• Retirement and Savings Benefits
• Flexible Spending and Health Savings Accounts
• Life Insurance
• Short‑Term and Long‑Term Disability
• Educational Assistance
• Paid Time Off (PTO)
• Employee Assistance and Wellness Programs
• Parenting Benefits
• Employee Discount Programs
• Pet insurance
• Ryan Foundation – charitable matching funds
• Paid Time for Volunteer Events

Equal Opportunity Employer

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Ryan Companies US, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, age, or any other characteristic protected under law.

If we can help accommodate a disability during any portion of the application or hiring process, please email [e-mail]. Reasonable accommodations will be determined on a case‑by‑case basis.