Data Engineer

ManpowerGroup Global, Inc.; Town of Norway (WI); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

401(k), Plus Match

Weekly Pay

Job summary

A major retail organization is seeking a Data Engineer Level 2 to support cross-functional teams remotely. The ideal candidate will design and maintain data pipelines using cutting-edge technologies such as Kafka and Databricks. You will leverage your 3+ years of experience in data development, collaborating with diverse teams to ensure data quality and integration. This position offers flexibility and involvement in innovative projects that impact customer experiences and business insights.

Qualifications

• 3+ years of experience in data development with cross-functional teams.
• Experience building and maintaining data pipelines.
• Knowledge of CI/CD pipelines and automated testing.

Responsibilities

• Design and maintain scalable data pipelines.
• Collaborate with teams to ensure data quality.
• Implement automated testing frameworks.

Skills

SQL

NoSQL technologies

Python

Pyspark

Databricks

Education

Bachelor’s degree in Computer Science or related field

Tools

Git

Job description

Our client, one of the largest retail organizations in the United States is hiring a Data Engineer to join their team. With a strong focus on innovation, sustainability and community impact, they continue to lead the way in shaping the future of retail.

As a vital member of the Data Engineering department supporting cross-functional teams, you will have the opportunity to work with cutting-edge technologies and contribute to creating personalized and valuable shopping experiences for millions of consumers. The ideal candidate will demonstrate independence, technical expertise, and a collaborative spirit, aligning seamlessly with the organization’s mission to leverage first-party retail data for impactful insights.

Job Title: Data Engineer Level 2

Location: Remote

What's the Job?

• Design, build, and maintain scalable, efficient, and reliable data pipelines supporting data ingestion, transformation, and integration from diverse sources.
• Collaborate with cross-functional teams to develop innovative data solutions and ensure data quality and security.
• Leverage technologies such as Kafka, Databricks, and cloud-based platforms to modernize data assets and support real-time streaming data.
• Implement automated testing frameworks to uphold high standards of data reliability and compliance.
• Mentor team members on best practices in data principles, patterns, and processes to foster continuous improvement and technical excellence.

What's Needed?

• Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Business Analytics, or a related STEM field.
• 3+ years of professional experience in data development, working within cross-functional teams on complex projects.
• Proficiency with SQL and NoSQL technologies, along with experience building and maintaining data pipelines and workflows.
• Hands-on experience with Python, Pyspark, and Databricks.
• Knowledge of CI/CD pipelines, automated testing, and version control systems such as Git.

What's in it for me?

• Work remotely with flexible scheduling to support work-life balance.
• Engage in innovative projects that leverage the latest data engineering technologies.
• Collaborate with a diverse and inclusive team committed to your professional growth.
• Contribute to impactful solutions that enhance customer experiences and business insights.
• Join an organization recognized for its commitment to diversity, inclusion, and ethical practices.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!