Data Engineer

Maple Central Corp.; Saint Paul (MN); On-site; USD 100,000 - 137,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Flexible scheduling

Work-life balance

Job summary

Maple Central Corp. in Saint Paul, MN, is seeking a Data Engineer to design, build, and maintain data pipelines supporting business intelligence and analytics.

The role offers a full-time schedule with a competitive salary between $100,000 and $137,098 per year, plus comprehensive benefits including health insurance and retirement plans. You will collect, transform, and load data from various sources, ensuring data quality and integrity, while collaborating with analysts and scientists to meet

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3-5 years of experience in data engineering or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or similar frameworks.
• Knowledge of cloud platforms such as AWS or Azure.
• Strong problem-solving and analytical skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Ensure data quality, accuracy, and integrity through robust testing and validation processes.
• Optimize data processing and storage solutions for performance and cost efficiency.
• Monitor and troubleshoot data pipeline performance and issues.
• Stay up-to-date with emerging technologies and industry best practices in data engineering.

Skills

Python

SQL

ETL

Data pipelines

Big data

Hadoop

Spark

AWS

Azure

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Spark

AWS

Azure

Job description

Maple Central Corp. seeks a Data Engineer in Saint Paul, MN, for a FULL_TIME position. You will design, build, and maintain data pipelines to support business intelligence and analytics initiatives. Salary range is $100,000 - $137,098.

As a Data Engineer, you will collect, transform, and load data from various sources. You will also ensure data quality and integrity, and optimize data storage and retrieval processes. You will work closely with data analysts and scientists to meet their needs.

You will join a team in Saint Paul, MN, in a collaborative work environment. The workplace is in MN, offering opportunities for professional growth and development. You will be part of a dynamic and innovative team.

The salary range for this position is between $100,000 and $137,098 per year, providing a competitive base pay that reflects the responsibilities and qualifications required for the role. In addition to the salary, the position offers a comprehensive benefits package that includes health insurance, which covers medical, dental, and vision care, ensuring the well-being of the employee and their family. Retirement plans are also available, allowing employees to save and invest for their future, with options such as a 401(k) or pension plan. Professional development opportunities are provided to help employees grow and advance in their careers, which may include training programs, workshops, and access to online learning resources. The position is full‑time, offering a standard 40-hour workweek, and is committed to work‑life balance, with flexible scheduling options available. Overall, the compensation package is designed to attract and retain top talent, providing both financial stability and opportunities for growth and development.

You should have a Bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data pipelines, ETL processes, and data warehousing is required. Proficiency in SQL, Python, and big data technologies is essential.

What you will do:

1. Design, develop, and maintain scalable data pipelines and infrastructure.
2. Collaborate with cross‑functional teams to understand data requirements and translate them into technical solutions.
3. Ensure data quality, accuracy, and integrity through robust testing and validation processes.
4. Optimize data processing and storage solutions for performance and cost efficiency.
5. Monitor and troubleshoot data pipeline performance and issues.
6. Stay up‑to‑date with emerging technologies and industry best practices in data engineering.

What we need:

1. Bachelor's degree in Computer Science, Data Engineering, or a related field.
2. 3-5 years of experience in data engineering or a similar role.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Experience with big data technologies like Hadoop, Spark, or similar frameworks.
5. Knowledge of cloud platforms such as AWS or Azure.
6. Strong problem‑solving and analytical skills.