SocialCode is a marketing and insights partner that powers smarter, more profitable brands. It delivers a complete technology and service solution that transforms consumer data into planning, media activation and measurement for leading brands like Heineken, Nestle and Visa. SocialCode’s deep expertise in people-based media platforms like Facebook, Instagram, Twitter, Pinterest, Snapchat and YouTube powers smarter marketing that drives business results and actionable insights about customers and prospects. We are a subsidiary of Graham Holdings Company (formerly The Washington Post Company), but operate independently. At SocialCode, we have an open office environment that fosters a free exchange of ideas. We aspire to always have a culture that embraces the appreciation of diversity and inclusion. We strongly believe that it takes diversity of thought, culture, background, and perspective to create a truly unique and successful organization. We encourage bright, kind, enthusiastic individuals to join our team and help make a big impact on our success.
We’re looking to hire a Staff Engineer (Level IC-4) into our Data Engineering team to help to further develop our analytics platform for audience and campaign data. An ideal candidate will combine experience within the advertising / marketing space with deep passion for data and big data technology, and should have experience analyzing multi-petabyte data sets and working closely with data scientists to build production-ready models.
HOW YOU CAN MAKE AN IMPACT
Collaborate with other engineers to produce a robust, highly performant data pipeline including data ingestion, transformation, aggregation, and storage of data for analysis and modeling.
Orchestrate complex workflows to accommodate a range of large-scale data sets from our clients and partners across several targeted verticals.
Partner with our data scientists to deliver production-ready models that operate at scale to power superior advertising performance.
Understand the value of and implement measurement techniques to improve (and prove!) the performance lift of our analytics and models.
Bring the experience and know-how to keep our data pipeline operations on rails.
Minimum of 5 years experience in software engineering, including 3 years building data pipelines on large scale distributed systems
Bachelor’s or Master’s degree in Computer Science or related field or equivalent experience
Domain experience highly desirable in the following areas: