Senior Data Engineer

Our client, a leading agriculture and crop solutions company , is seeking a Senior Data Engineer to join their team. As a Senior Data Engineer , you will be part of the Digital Data Platform team supporting enterprise data product teams across the organization. The ideal candidate will have strong analytical skills , excellent problem-solving abilities , and effective cross-functional communication , which will align successfully within the organization.

Job Title: Senior Data Engineer

Location: Remote (U.S.)

Pay Range: 60-70/hr

What’s the Job?

• Design, build, and optimize scalable ETL/ELT data pipelines using AWS Glue (PySpark), Apache Iceberg, and AWS data services.

• Develop and maintain Amazon Redshift data warehouse solutions, including schema design, stored procedures, materialized views, and SQL performance tuning.

• Implement data modeling, data quality validation, and governance practices to deliver reliable, analytics-ready datasets.

• Collaborate with cross-functional data product teams to onboard new data sources, establish data contracts, and support enterprise analytics.

• Troubleshoot production data pipelines and manage deployments using CI/CD, ensuring data accuracy, reliability, and operational excellence.

What’s Needed?

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field with 5+ years of Data Engineering experience .

• Strong hands-on experience with AWS Glue, Amazon Redshift, Athena, Lake Formation, S3, and Python (PySpark) .

• Advanced SQL expertise, including complex queries, query optimization, dimensional data modeling, and ETL development.

• Experience with Apache Iceberg (or similar open table formats), data governance, CI/CD, GitHub, and database migration tools such as Liquibase.

• Ability to work independently in a fast-paced environment while delivering high-quality, production-ready data pipelines.

What’s in it for me?

• Opportunity to work remotely on a modern enterprise AWS data platform.

• Exposure to cutting-edge cloud technologies including Apache Iceberg, AWS Lake Formation, and Data Mesh architecture.

• Collaborate with multiple enterprise data product teams on large-scale analytics initiatives.

• Work on high-impact projects supporting digital transformation and enterprise data strategy.

• Competitive compensation with the opportunity to contribute to an innovative, mission-driven organization.

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!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.