Data Engineer II - Insights, Strategy & Analysis

Sonypictures; Culver City (CA); Hybrid; USD 125,000 - 145,000; Full time

Job summary

Sony Pictures Entertainment seeks a talented data engineer to join the ISA organization. You will design and build ELT pipelines powering analytics, reporting, and AI/ML apps across SPE’s media ecosystem.

The role involves ingestion of diverse data sources, collaboration with product, data science, and BI teams, and contributing to data governance and scalable data platforms. Expect a competitive base salary and incentives.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields.
• 5+ years in analytics engineering, data engineering, or a related technical role in a production environment.
• Experience in media analytics, streaming, or TV/film data environments is desirable.
• Advanced SQL and Python; experience building dbt transformations preferred.
• Experience with Snowflake, BigQuery, or AWS Redshift and modern cloud data tools.

Responsibilities

• Translate complex business requests into robust data models, metrics, and semantic layers using dbt and SQL.
• Support ingestion of new sources into SPE’s Snowflake data platform with IT and cloud teams.
• Partner with product managers, analysts, data scientists, and stakeholders to deliver data products and analytics tools.
• Contribute to a team culture of ownership, accountability, and continuous improvement.

Skills

SQL

Python

dbt

Snowflake

BigQuery

Redshift

Cloud platforms

CI/CD

Gen AI

Education

Bachelor’s or Master’s in CS/DS/Analytics

Tools

dbt

Git

CI/CD tooling

Job description

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 for 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.

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