Principal Data Engineer

Nielsen Global Media, a leading consumer analytics company, is seeking a Principal Data Engineer to join their innovative team. This role combines advanced analytics programming with large-scale data processing, offering an opportunity to work with billions of data points across more than 100 countries.

The position requires expertise in modern analytics programming, focusing on developing and orchestrating econometric and machine learning modules. You'll be working with cutting-edge technologies including Python, Spark, and SQL, creating sophisticated data processing systems for analytics research and development.

As a Principal Data Engineer, you'll be instrumental in designing and implementing cloud-based analytical solutions, working closely with the Software Engineering department. The role offers the flexibility of remote work from anywhere in the U.S., with minimal travel requirements (1-5 days annually).

The ideal candidate will bring a strong educational background in Computer Science, Data Science, or a related quantitative field, coupled with extensive experience in analytics software solutions. You'll need proven expertise in Python, AWS, SQL, and various cloud technologies, along with experience in managing large-scale data processing systems.

This role offers competitive compensation ranging from $142,771 to $225,000 annually, reflecting the senior nature of the position. You'll be part of a diverse, inclusive workplace that values equal opportunity and innovation. The position provides an excellent opportunity to work with global data sets and contribute to solutions that help businesses understand consumer behavior and market trends.

Working at Nielsen means being at the forefront of consumer analytics, with access to vast amounts of data and the opportunity to develop solutions that directly impact global business decisions. You'll be part of a team that's constantly evolving and pushing the boundaries of data science and analytics.

The role combines technical expertise with business impact, requiring both strong programming skills and the ability to understand the broader business context of analytical solutions. You'll work in an agile environment, collaborating with cross-functional teams to deliver sophisticated analytical solutions.