Data Engineer

Bridgeway Summit Solutions; Saint Paul (MN); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Comprehensive health insurance

Employer matching retirement plan

Professional development opportunities

Job summary

Bridgeway Summit Solutions in Saint Paul, MN, is seeking a Data Engineer for full-time employment. The role focuses on designing and maintaining data infrastructure to support healthcare solutions, with salary negotiable based on experience.

You will design data pipelines, optimize ETL processes, and ensure data integrity while collaborating with cross-functional teams to translate business requirements into technical solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 2+ years of data engineering experience with SQL and Python.
• Experience with cloud platforms such as AWS or GCP is a plus.

Responsibilities

• Design, build, and maintain data pipelines to collect and process large volumes of healthcare data.
• Develop and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and efficiency.
• Collaborate with data scientists and analysts to translate business needs into actionable data solutions.
• Monitor data quality and implement measures to improve it.
• Stay up-to-date with the latest data engineering trends and technologies.

Skills

SQL

Python

Data pipelines

ETL

Data warehousing

Cloud platforms

AWS

GCP

Azure

Problem solving

Education

Bachelor's degree

Tools

AWS

GCP

Azure

Job description

Bridgeway Summit Solutions, a tech company in Saint Paul, MN, seeks a Data Engineer for full-time employment. This role involves developing and maintaining data infrastructure to support healthcare solutions. Salary is negotiable.

In this role, you'll design and implement data pipelines, optimize database performance, and ensure data integrity. You'll also work with cross-functional teams to translate business requirements into technical solutions.

You'll join a team of passionate professionals in a collaborative workplace in Saint Paul, MN, where the company is committed to fostering an inclusive and innovative environment. This means creating a workplace where everyone feels valued and respected, regardless of their background or identity. The company encourages open communication and teamwork, with a focus on sharing ideas and learning from each other. The innovative environment is characterized by a willingness to take risks and try new things, with a strong emphasis on continuous learning and development. The team is made up of individuals from diverse backgrounds, bringing a wealth of unique perspectives and experiences to the table. Together, they work towards a common goal, with a strong sense of camaraderie and mutual support. The company's commitment to fostering an inclusive and innovative environment is evident in the way it operates, with a focus on diversity, equity, and inclusion in all aspects of the business.

The salary for this position is negotiable based on the candidate's experience and qualifications.

Benefits

• comprehensive health insurance coverage


• a retirement plan with employer matching contributions


• opportunities for professional development, such as workshops, training programs, and access to industry conferences

You should have a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with SQL, Python, and cloud platforms like AWS or Azure is required. Knowledge of data warehousing and ETL processes is a plus.

The deadline for submissions is set for November 23, 2026.

Duties

• Design, build, and maintain data pipelines to collect and process large volumes of healthcare data.


• Develop and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and efficiency.


• Collaborate with data scientists and analysts to translate business needs into actionable data solutions.


• Monitor data quality and implement measures to improve it.


• Stay up-to-date with the latest data engineering trends and technologies.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.


• 2+ years of experience in data engineering, with a strong background in SQL and Python.


• Experience with cloud platforms like AWS or GCP is a plus.


• Strong problem-solving skills and attention to detail.


• Excellent communication and teamwork skills.