Data Engineer

Meridian Premier Inc.; Milwaukee (WI); On-site; USD 100,000 - 125,000; Full time

Job summary

Meridian Premier Inc. in Milwaukee, WI is seeking a Data Engineer to design and maintain robust data infrastructure. You will collaborate with data scientists and analysts to translate data requirements into scalable pipelines while ensuring accuracy and availability across systems.

The role emphasizes data modeling, ETL processes, and modern technologies (Spark, Kafka, SQL/NoSQL). Office-based, full-time position with opportunities for mentorship and growth within a dynamic team.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure to support data processing and analysis.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, accuracy, and integrity through data validation, cleansing, and transformation processes.
• Optimize data storage and retrieval processes to improve performance and efficiency.
• Monitor and troubleshoot data-related issues to ensure system reliability and availability.
• Stay up-to-date with emerging technologies and industry best practices in data engineering.
• Participate in code reviews and contribute to the improvement of data engineering processes.
• Provide technical guidance and mentorship to junior team members.

Skills

Python

Java

Scala

SQL

NoSQL

Apache Spark

Hadoop

Kafka

ETL

Data modeling

Team collaboration

Education

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

Tools

None

Job description

Meridian Premier Inc. is seeking a Data Engineer in Milwaukee, WI. This full-time role offers negotiable pay and a dynamic workplace.

As a Data Engineer, you will design, develop, and maintain data infrastructure. You'll collaborate with teams to ensure data accuracy, integrity, and availability.

You will work in a team environment at our Milwaukee office in Wisconsin, where the atmosphere is active and fosters collaboration. The office is designed to encourage interaction and teamwork, with open spaces and shared work areas. You'll have the opportunity to collaborate with a diverse group of professionals, sharing ideas and knowledge to achieve common goals. The workplace culture emphasizes mutual support and respect, creating a positive and productive environment. Regular team meetings and brainstorming sessions are integral to the daily routine, ensuring everyone stays aligned and engaged. The office is equipped with modern amenities, including comfortable seating, high-speed internet, and access to various resources and tools. This setup not only enhances productivity but also contributes to a comfortable and enjoyable work experience.

The salary is negotiable, reflecting the company's commitment to fair compensation and acknowledging the diverse skills and experiences of its employees. Benefits extend beyond the base salary, encompassing a dynamic workplace environment that fosters creativity, collaboration, and innovation. Employees have ample opportunities for professional growth, with access to training programs, mentorship, and career development resources. The company values its employees' contributions and invests in their success, ensuring a supportive and enriching work experience.

You need a background in data engineering and related technologies. Experience with data infrastructure, databases, and programming languages is required.

Responsibilities:

• Design, develop, and maintain data pipelines and infrastructure to support data processing and analysis.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, accuracy, and integrity through data validation, cleansing, and transformation processes.
• Optimize data storage and retrieval processes to improve performance and efficiency.
• Monitor and troubleshoot data-related issues to ensure system reliability and availability.
• Stay up-to-date with emerging technologies and industry best practices in data engineering.
• Participate in code reviews and contribute to the improvement of data engineering processes.
• Provide technical guidance and mentorship to junior team members.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience.
• Proven experience as a Data Engineer or similar role, with a strong background in data processing and analytics.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data storage and retrieval technologies, including SQL and NoSQL databases.
• Familiarity with data processing frameworks such as Apache Spark, Hadoop, or Kafka.
• Strong understanding of data modeling and ETL processes.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.