Job Description

The STARZ Data Products & Engineering team is seeking a senior 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 robust and consistent data acquisition systems with a growing portfolio of sources 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.

Responsibilities

Develop 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

Required Skills

Languages: C#, TypeScript, 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/Kinesis), 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
Data warehousing and high-volume data processing
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

Nice to Haves

DynamoDB, BigQuery, RedShift
AWS Lambda/Step Functions

Compensation

$145,000 - $165,000

About STARZ

STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning “We’re All Adults Here.” Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.

Our Benefits

Full Coverage – Medical, Vision, and Dental
Annual discretionary bonus and merit increase
Work/Life Balance – generous sick days, vacation days, holidays, and wellness days
401(k) company matching
Tuition Reimbursement (up to graduate degree)

EEO Statement

Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.

Starz

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