Sr. Software Engineer

Job Description

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. You'll be building applications that give internal users insight into what audiences to target, 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. 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. 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). As part of our work to enable the organization to make decisions with data, we're building out a data processing framework for use by internal analyst teams that lets them harness the power of the data engineering technology we build. This is an opportunity to exercise your technical skills with 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.

Full-time remote candidates will be considered.

Responsibilities
• 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 modeling, mining and production

• Continue to build out our data processing framework, and expand it to support less and less technical users

• Migrate legacy data pipelines to our data processing framework

• 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

• 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 attitude

Required Qualifications & Skills
• Languages: C#, SQL

• Database Systems: Snowflake, SQL Server

• Cloud: AWS (EC2/ECS/S3/CDK), Docker

• Full lifecycle software development

Qualifications & Skills
• BS degree or equivalent experience in information management, computer science, math, statistics, or equivalent technical field

• 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

Nice to Haves
• Python, Google Cloud Platform, ETL tooling (AWS Glue or Matillion), EMR

• DynamoDB, RedShift, BigQuery

• Lambda/Step Functions

• Data warehousing and high volume data processing

Our Benefits
• Full Coverage – Medical, Vision, and Dental

• Annual discretionary bonus and merit increase

• Work/Life Balance – generous sick days, vacation days, 11 holidays, and Impact Day

• 401(k) company matching

• Reimbursement – Rideshare Program and Tuition (up to graduate degree)

Compensation

$109,000 -$172,400

EEO Statement

Nearest Major Market: Denver

Jobcode: Reference SBJ-g38qwx-18-218-184-214-42 in your application.