Data Engineer II - Insights, Strategy & Analytics

Posted 4 Days Ago
Culver City, CA, USA
In-Office
125K-145K Annually
Senior level
News + Entertainment
The Role
Builds scalable ELT pipelines, data models, business metrics, and semantic layers supporting analytics, reporting, and AI/ML applications. The role ingests data into Snowflake, develops dbt and SQL transformations, validates data quality and governance, and partners with product managers, analysts, data scientists, visualization teams, and business stakeholders. Responsibilities include harmonizing media data, delivering ready-to-use datasets, and supporting strategic decision-making across television production, distribution, and marketing.
Summary Generated by Built In

Sony Pictures Entertainment is seeking a talented data engineer to join the Insights, Strategy and Analytics (ISA) organization. The ISA team focuses on enhancing analytical capabilities and infrastructure for internal stakeholders across television production, distribution, and marketing. As the world’s largest independent studio, Sony Pictures Television produces original content for streaming and linear networks globally, including popular series across various genres. Our series – from dramas like PLURIBUS, THE NIGHT AGENT, THE LAST OF US, and THE BOYS, to comedies like TWISTED METAL and COBRA KAI, to unscripted series like JEOPARDY!, WHEEL OF FORTUNE, and AMERICAN IDOL – are beloved by our fans and customers worldwide.  

The Data Engineer II designs and builds reliable, scalable ELT pipelines that power analytics, reporting, and AI/ML applications across Sony Pictures Entertainment. Ideal candidates have prior experience supporting data platforms, analytics, or business intelligence initiatives within a film or television studio, streaming platform, broadcast network, or similarly scaled media company. This role contributes to fast-paced, business-facing analytics initiatives, delivering data products and analytical capabilities that support strategic decision-making across the studio.


Key Responsibilities:

  • Analytics Engineering: Translate complex business requests into robust data models, business metrics, and semantic layers using dbt and SQL. Apply analytics engineering best practices to ensure maintainability, reliability, and performance.  
  • Data Engineering: Support the ingestion of new sources into SPE’s Snowflake data platform, working closely with central IT and cloud operations teams to define ingestion requirements and validate that pipelines meet business needs and adhere to SPE’s data governance and security policies.  
  • Cross-Functional Product Delivery: Partner closely with product managers, strategic analysts, data scientists, data visualization teams, and business stakeholders to deliver impactful tools. Collaborate across disciplines to understand business requirements, harmonize data from disparate systems, and create ready-to-use datasets that enable reporting, advanced analytics, and decision-making.
  • “One Team” Mindset: Contribute to a high-performance team, collaborating openly with peers to create a team culture of ownership, accountability, and continuous improvement.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus.
  • 5+ years in analytics engineering, data engineering, or a related technical role in a production environment.
  • Experience working with data supporting television, film, streaming, advertising-supported video (AVOD), FAST channels, content distribution, audience analytics, or media strategy.
  • Familiarity with business entities, metrics, and datasets common to a television production and distribution studio, including content and title metadata, audience measurement, ratings, and content performance data, talent, production, licensing, and distribution datasets. Experience working with industry data providers such as IMDb, Gracenote, Luminate, Nielsen, or similar sources is highly desirable.
  • Advanced SQL and Python skills. Experience building transformation pipelines in dbt is strongly preferred. 
  • Proficiency with modern cloud data platforms (e.g., Snowflake, GCP/BigQuery, AWS/Redshift) and with pipeline orchestration tools.
  • Familiarity with CI/CD workflows, version control, and automated testing frameworks to meet data quality standards.
  • Exposure to generative AI technologies and practical interest in applying AI-driven approaches to data engineering, data quality, metadata management, and analytics workflows.
  • Strong problem-solving skills, attention to detail, and the ability to communicate effectively with both technical and non-technical stakeholders.

The anticipated base salary for this position is $125K to $145K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.

Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics.

SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.

Sony Pictures does not allow audio recording, video recording or use of AI note-taking tools during interviews. Please be aware these tools may be enabled as a default and can be difficult to disable once the interview has started, so we recommend you check your device and disable these tools prior to the start of your interview. If recording or the use of the tools occurs during the interview and cannot be promptly turned off or disabled, the interviewer may end the interview.

To request an accommodation for purposes of participating in the hiring process, you may contact us at [email protected].

Skills Required

  • Bachelor’s or master’s degree in Computer Science, Data Science, Business Analytics, or a related field
  • 5+ years of experience in analytics engineering, data engineering, or a related technical role in a production environment
  • Experience supporting data for television, film, streaming, AVOD, FAST channels, content distribution, audience analytics, or media strategy
  • Familiarity with television production and distribution datasets, including content metadata, audience measurement, ratings, content performance, talent, production, licensing, and distribution data
  • Advanced SQL and Python skills
  • Experience with modern cloud data platforms such as Snowflake, GCP/BigQuery, or AWS/Redshift
  • Experience with pipeline orchestration tools
  • Familiarity with CI/CD workflows, version control, and automated testing frameworks
  • Strong problem-solving skills, attention to detail, and communication with technical and non-technical stakeholders
  • Experience building transformation pipelines in dbt
  • Experience with industry data providers such as IMDb, Gracenote, Luminate, or Nielsen
  • Exposure to generative AI technologies and interest in applying AI to data engineering, data quality, metadata management, and analytics workflows
  • Advanced degree

Sony Pictures Entertainment Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sony Pictures Entertainment and has not been reviewed or approved by Sony Pictures Entertainment.

  • Healthcare Strength — Medical, dental, vision, mental-health, and wellness programs are broadly available, with recent updates such as CVS/Caremark for prescriptions on Aetna plans. Multiple plan types (including HSA‑eligible options and a California HMO) point to comprehensive coverage breadth.
  • Retirement Support — A 401(k) with immediate company matching and auto-enrollment/auto-increase features supports long-term savings. Additional programs like an Employee Stock Purchase Plan and employer HSA contributions further bolster financial wellbeing.
  • Parental & Family Support — Paid parental leave described as generous, along with childcare, fertility support, adoption/surrogacy assistance, and backup care, provides broad family coverage. Ancillary supports like Milk Stork and legal assistance reinforce family-related needs.

Sony Pictures Entertainment Insights

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The Company
HQ: Culver City, CA
10,000 Employees
Year Founded: 1989

What We Do

We are in the business of creativity, making some of the most beloved film and television of all time for every platform in the world. As the most creative and proudly independent studio, our future is boundless. Sony Pictures Entertainment (SPE) is a division of Sony Group Corporation, a creative entertainment company built on a foundation of technology. Along with our sister companies, we make movies, television, music and games that engage billions of people, connecting creators and audiences around the globe. We are looking for innovators to join us as we forge the future of entertainment! SPE's global operations encompass motion picture production and distribution; television production and distribution; digital content creation and distribution; worldwide channel investments; home entertainment acquisition and distribution, operation of studio facilities; development of new entertainment products, services and technologies; and distribution of filmed entertainment in more than 130 countries.

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