Sr. Data Engineer

We Are Paramount

#We Are Paramount  on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co‑create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

The Signal Intelligence team works with high‑volume, multi‑source data ecosystem and builds trusted, decision‑ready data products. We work across operational systems, client app event streams, ad tech platforms, stitcher events, ad server logs, and telemetry – stitching them together into the data marts and dashboards that power business, product, and ad ops decisions.

We are currently looking for a Senior Data Engineer to develop processes, methodologies and systems to consolidate and analyze unstructured diverse data sources that generate breakthroughs, actionable insights and solutions that inform decisions and business direction. This person will own the full lifecycle of our data – from raw event ingestion through harmonization, architecting, designing, modeling, visualization, and incident response.

In addition, the successful candidate will lead development of software algorithms to structure, analyze and leverage data in the development of product and applications.

Candidates should possess extensive experience in Data Engineering, Data Analysis, and Predictive Analytics, and be able to independently develop and communicate complex statistical analysis and insight to peers and senior leadership.

We are looking for someone who can work effectively in a matrixed organization, lead data‑based decision making, and bring clear data‑driven insights to existing business operations.

• Build and own data marts spanning operational, advertising, and telemetry data – designed for analytics, reporting, AI, and operational use cases
• Ingest and process large‑volume event data from client apps, ad tech platforms, stitcher services, ad servers, and telemetry pipelines
• Clean, harmonize, and integrate data across systems with different schemas, identifiers, grains, and timing – producing conformed dimensions and shared definitions (users, sessions, devices, content, campaigns, impressions)
• Stitch identity and sessions across client, server, and ad‑side events to enable accurate user, content, and revenue analytics
• Troubleshoot data incidents end‑to‑end – from a dashboard anomaly back through marts, transformations, and raw event logs – and drive permanent fixes
• Build, support and improve visualizations in partnership with analysts and stakeholders, ensuring dashboards are accurate, performant, and trusted
• Establish data quality standards – testing, monitoring, alerting, freshness and volume SLAs – so issues are caught before stakeholders see them
• Document datasets, lineage, and business logic so consumers across analytics, product, and ad ops can self‑serve with confidence
• Partner closely with analysts, data scientists, ad ops, product, and source‑system owners to translate business questions into durable data models
• Develop/Improve new or underutilized data sets internally and externally
• Analyze complex and huge datasets to understand patterns and develop actionable insights
• Develop new initiatives to improve business KPIs such as usage, revenue, etc.
• Define new metrics and KPIs to track new initiatives
• Work closely with all business functions to enable transparent data‑based decision making
• Contribute to the daily variance identification across multiple platforms
• Drive complex strategic projects investigations and analysis
• Work cross‑functionally on enterprise‑wide programs with Engineering, Broadcast Operations, Finance, BI and Data Engineering teams to improve performance and profitability
• Research and share information on the latest tools and best practices
• Mentor engineers and analysts on SQL, modeling, event data, and engineering best practices