Data Engineer

Job Description:

Ryan Companies seeks a Data Engineer to join a new, developing capability for Ryan Companies. This position will be a hybrid role with 3 or 4 days per week required for collaboration in our downtown Minneapolis headquarters.

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies—with a specific focus on supporting our mission-critical (data center) construction projects. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used in field operations, safety, scheduling, and risk analysis.

The successful candidate will work cross-functionally with data scientists, analysts, and domain experts to design and implement modern data engineering solutions that power innovation and performance on our most complex and high-impact construction efforts.

Data Pipeline Development

• Design, build, and maintain batch and streaming data pipelines to ingest, process, and serve structured and semi-structured data from diverse sources (e.g., project systems, safety logs, IoT/sensor data).

• Develop robust ETL/ELT workflows that ensure data accuracy, consistency, and timely delivery to analytics platforms and downstream applications.

• Optimize data processing performance and cost across cloud infrastructure using scalable and efficient architecture patterns.

Platform Engineering & Integration

• Support the deployment and monitoring of machine learning models and analytics workflows by implementing reproducible and traceable data environments.

• Collaborate with DevOps and IT teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.

• Contribute to metadata management, data cataloging, and lineage tracking to enable discovery and transparency of enterprise data assets.

Collaboration & Enablement

• Partner with data scientists and analysts to understand data needs and co-develop infrastructure to support experimentation, exploration, and operationalization of insights.

• Ensure high standards of data governance, security, and compliance across systems and pipelines.

• Document architecture, schemas, and pipeline workflows to support team knowledge sharing and onboarding.

Qualifications and Experience:

• 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/or Scala, with experience using tools such as dbt, Spark, Pandas, or PySpark.

• Proven experience designing and maintaining data pipelines using platforms such as GPC, AWS, Azure Data Factory, Databricks, or similar.

• Proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, Delta Lake, MongoDB).

• Experience working in Google Cloud Platform (GCP), with familiarity or exposure to AWS products considered a plus.

Preferred Skills:

• Familiarity with MLOps or experience supporting machine learning pipelines in production environments.

• Exposure to event-driven architectures and real-time data streaming tools (e.g., Kafka, Azure Event Hubs).

• Strong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions.

Eligibility

Positions require verification of employment eligibility to work in the U.S.

Must be authorized to work in the U.S.

Compensation:

The annual base pay range is $90,000 to $120,000. The base rate 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.

Benefits

• Competitive Salary

• Medical, Dental and Vision Benefits

• Retirement and Savings Benefits

• Flexible Spending Accounts

• Life Insurance

• Educational Assistance

• Paid Time Off (PTO)

• Parenting Benefits

• Long-term Disability

• Ryan Foundation – charitable matching funds

• Paid Time for Volunteer Events

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

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.