DPE Sr. Software Engineer

at  Starz

SUMMARY OF POSITION

The STARZ Data Products & Engineering team is seeking a software engineer who’s passionate about drawing a thin line from data to insight and exposing that insight to internal users to support important business decisions. We’re building out a robust and consistent data acquisition system with a growing portfolio of sources and sinks which enable other teams to analyze, view and report on the data. You’ll be helping internal users gain insight into what audiences to target for marketing, how original and licensed content is likely to perform in the Starz ecosystem and beyond and helping us to integrate disparate signals into a clear picture of where the organization is at and where we can go.
Our users range from extremely technical (providing us with models to run and wanting tables or files in return) to less technical (providing inputs via a UI or spreadsheet and expecting results displayed in-line or in a report). This is an opportunity to exercise your technical skills as part of a highly skilled team from a variety of diverse backgrounds while helping every aspect of our business to be more efficient and more data driven.

REQUIRED SKILLS

• Languages: C#, SQL
• Database Systems: Snowflake or other Cloud-based Data Warehouse systems
• Experience with third party data APIs (REST, GraphQL, etc)
• Cloud: AWS (EC2/ECS/S3/CDK), Docker
• Full lifecycle software development

QUALIFICATIONS

• 4+ years working directly as a member of a technical team, preferably developing/supporting/innovating for a consumer-facing analytics product
• Strong experience working with relational databases and consuming RESTful APIs
• Self-starter with strong communication and team building skills
• BS degree or equivalent experience in information management, computer science, math, statistics, or equivalent technical field

• Develop, test, and maintain optimal data processing pipelines and related architectures, ensuring the overall solution will support business requirements
• Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using AWS cloud-native technologies and .NET
• Assemble large, complex data sets that meet functional/non-functional business requirements
• Develop and implement processes for data acquisition, modeling, mining, and production
• Continue to build out our data processing framework, and expand it to support less and less technical users
• Employ a variety of languages, tools, and techniques to marry systems and the data generated from those systems together to maximize the strategic value of the data
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, retention, behavior, and other key business performance metrics
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our products
• Recommend and implement ways to improve/ensure data reliability, efficiency, and quality
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Discover opportunities for new data acquisition and application
• Be prepared to translate findings to key stakeholders
• Work in a heavily collaborative environment, taking on a variety of roles when necessary, with a positive and self-starting attitude