Starz Logo

Starz

Sr. Data Engineer

Posted 4 Days Ago
In-Office
Greenwood Village, CO
145K-165K Annually
Mid level
In-Office
Greenwood Village, CO
145K-165K Annually
Mid level
The Sr. Data Engineer will develop data processing pipelines, maintain data architectures, optimize data systems, and support data-driven business decisions.
The summary above was generated by AI

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.  

Top Skills

AWS
C#
Docker
Snowflake
SQL
Typescript
HQ

Starz Englewood, Colorado, USA Office

8900 Liberty Circle, Englewood, CO, United States, 80112

Starz Greenwood Village, Colorado, USA Office

6363 S Fiddlers Green Circle, Greenwood Village, Colorado, United States, 80111

Similar Jobs

4 Days Ago
Hybrid
32 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
You will design and implement data solutions, manage data ecosystems, analyze problems, mentor team members, and build client relationships.
Top Skills: Data AnalyticsData EngineeringData GovernanceData WarehousingEltETL
24 Days Ago
In-Office or Remote
54 Locations
115K-260K Annually
Expert/Leader
115K-260K Annually
Expert/Leader
Insurance
The Senior Staff Engineer, Finance Data Specialist will lead the development and maintenance of a Finance Data Warehouse, ensuring effective financial data processing and analytics for GEICO's finance operations.
Top Skills: DbtDelta LakeHudiIcebergInformaticaOraclePeoplesoftRedshiftSAPSnowflakeSQLWorkday
7 Days Ago
Remote or Hybrid
69 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Manager in data engineering at PwC, responsible for designing data architecture, leading projects, and ensuring compliance with data governance while mentoring teams and driving strategic project success.
Top Skills: AWSAzureCloud PlatformsDatabricksGCPSnowflake

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account