Senior Data Engineer

Sprout Social powers open communication between individuals, brands and communities through elegant, sophisticated software. We are relentless about solving hard problems for our customers and committed to both customer and team success.

Sprout’s data team uses code, statistics, and machine learning to inform our products and organization. We’re looking for an experienced Data Engineer to join our team of data scientists and engineers. We’re looking for curious, analytical, and creative people to help utilize the vast amount of data we have. If you love finding ways of using data to build better products and solve problems, we’d love to talk with you.

• Build, maintain, and share responsibility for our ETL and data warehousing infrastructure, helping us pave its path
• Design and build scalable pipelines to process terabytes of data
• Care deeply about data quality as a basis for sound decision-making
• Contribute to the vision for data infrastructure, data science, and analytics

• Experience building custom ETL, data warehousing, and pipeline infrastructure in Java, Python, and/or SQL
• Experience building and deploying on AWS, especially with Amazon Redshift
• Expertise transforming and standardizing large datasets. And validating your work.
• Comfort with the DevOps side of engineering
• You value starting with simple solutions that do not sacrifice data integrity
• Interest in working on a cross functional team with data scientists
• Interest in machine learning and statistics