Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering with experience in building and maintaining ETL pipelines — your expertise in AWS Glue and Redshift allows you to efficiently manage large datasets and ensure data quality. You are proficient in Java and SQL, enabling you to write complex queries and develop robust data processing applications. Your analytical mindset helps you derive insights from data, and you are comfortable working with cross-functional teams to understand their data needs.

You thrive in collaborative environments and enjoy sharing your knowledge with others — mentoring junior engineers and contributing to team discussions is something you value. You are detail-oriented and have a passion for optimizing data workflows, ensuring that data is accessible and actionable for stakeholders. Your problem-solving skills enable you to tackle challenges head-on, and you are always looking for ways to improve processes and systems.

What you'll do

As a Data Engineer at Nielsen, you will design and implement ETL processes that capture audience engagement data across various platforms. You will work closely with data analysts and other engineers to understand data requirements and ensure that the data infrastructure supports business objectives. Your role will involve writing and optimizing SQL queries to extract and transform data, as well as developing applications in Java to automate data processing tasks.

You will be responsible for maintaining and monitoring data pipelines, ensuring they run smoothly and efficiently. Collaborating with the analytics team, you will help derive insights from the data you manage, contributing to reports and dashboards that inform client decisions. You will also participate in code reviews and contribute to best practices in data engineering, helping to foster a culture of continuous improvement within the team.

What we offer

Nielsen offers a dynamic work environment where you can grow your skills and make a meaningful impact on the media landscape. You will have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement — your passion for data and eagerness to learn are what matter most. Join us in powering a better media future for all people.