Data Engineer

Linden Summit Corp.; Saint Paul (MN); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Employer 401(k) matching

Professional development

Flexible work environment

Wellness programs

Employee discounts

Job summary

Linden Summit Corp. in Saint Paul, MN is seeking a Data Engineer to design, build, and maintain data infrastructure that supports business operations.

This full-time role offers a negotiable salary and a path to growth within a manufacturing environment. You will design data pipelines, ensure data quality, and optimize storage and performance while collaborating with cross-functional teams to translate data requirements into scalable solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or similar role.
• Proficiency in SQL, Python, and data modeling techniques.
• Experience with cloud platforms such as AWS or Azure.

Responsibilities

• Design and implement data pipelines to collect, process, and store data from various sources.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Optimize data storage and retrieval systems for performance and scalability.
• Collaborate with cross-functional teams to identify data requirements and deliver data-driven insights.
• Monitor and troubleshoot data infrastructure to ensure high availability and reliability.
• Maintain and document data engineering processes and procedures.

Skills

SQL

Python

Data modeling

ETL processes

Data pipelines

AWS

Azure

Hadoop

Spark

Hive

Education

Bachelor's degree in Computer Science or Engineering

Tools

Airflow

dbt

Job description

Linden Summit Corp. is seeking a Data Engineer in Saint Paul, MN. This full-time role involves designing, building, and maintaining data infrastructure to support business operations. The position offers negotiable salary and a valid through date of November 23, 2026.

As a Data Engineer, you will design and implement data pipelines, ensure data quality and integrity, and optimize database performance. You will also collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.

You will work in an established manufacturing company environment in Saint Paul, MN. The team is committed to excellence and innovation, providing a supportive and collaborative workplace.

The salary for this position is negotiable, offering a competitive starting point that can be adjusted based on the candidate's qualifications, experience, and market standards. Benefits include comprehensive health insurance that covers a range of medical services, retirement plans with employer matching contributions, and opportunities for professional development through workshops, courses, and certifications relevant to the role. Additionally, the company provides a flexible work environment, wellness programs, and access to employee discounts on various products and services. These perks aim to support the overall well-being and career growth of the employees.

To excel in this role, you should have a bachelor's degree in Computer Science, Engineering, or a related field. Experience with data modeling, ETL processes, and SQL is required. Proficiency in Python or Java is a plus.

What you will do:

1. Design and implement data pipelines to collect, process, and store data from various sources.
2. Ensure data quality and integrity by implementing data validation and cleansing processes.
3. Optimize data storage and retrieval systems for performance and scalability.
4. Collaborate with cross-functional teams to identify data requirements and deliver data-driven insights.
5. Monitor and troubleshoot data infrastructure to ensure high availability and reliability.
6. Maintain and document data engineering processes and procedures.

What we need:

1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience as a Data Engineer or similar role.
3. Proficiency in SQL, Python, and data modeling techniques.
4. Experience with cloud platforms such as AWS or Azure.
5. Knowledge of big data technologies like Hadoop, Spark, or Hive.
6. Strong problem-solving skills and attention to detail.