Sr Data Engineer

#WeAreParamount 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! Overview and Responsibilities The Signal Intelligence team works with a 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 looking for a Senior Data Engineer to develop processes, methodologies, and systems to consolidate and analyze diverse, unstructured 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 the development of software algorithms to structure, analyze, and leverage data in the creation 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. Responsibilities Include 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 and 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 and revenue. 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 project 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. Basic Qualifications BA/BS in Computer Science, Math, Physics, Engineering, Economics, Statistics, or a related technical field. 5+ years of data engineering experience building production pipelines and data models. Expert SQL skills, including performance tuning on large, event‑scale datasets. Strong experience with a cloud warehouse or lakehouse (Snowflake, BigQuery, or Databricks). Experience working with JSON, Parquet, and similar file types. Proficient in Python for data processing and pipeline development. Experience with dbt (or an equivalent transformation framework). Experience with orchestration tools (e.g., Airflow). Hands‑on experience with high‑volume event data – clickstream, telemetry, ad impressions, or similar – including deduplication, late‑arriving data, sessionization, and schema evolution. Deep understanding of dimensional modeling, star/snowflake schemas, slowly changing dimensions, and data mart design. Proven track record of harmonizing data across multiple source systems with conflicting schemas, identifiers, or grain. Experience debugging data quality issues across the full stack – from BI tool to warehouse to raw event logs. Comfort working directly with BI tools (DOMO, Looker, Mode) – both consuming them and supporting their development. Strong analytical and logical skills. Additional Qualification MS in a quantitative discipline or equivalent experience. Experience leading engineering or operations teams. Understanding of statistical analysis using R and predictive analytics tools, including ability to define, complete, and present analysis. What We Offer Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams. Opportunities for both on‑site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: Additional Information Hiring salary range: $110,000.00 – 165,000.00. The hiring salary range applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay depends on geographic location, market demands, experience, training, and education. Benefits include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program, and PTO as otherwise dictated by the applicable Collective Bargaining Agreement. This position is bonus eligible. Paramount is an equal‑opportunity employer (EOE) including disability/veteran. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and veteran status. Nearest Major Market: Manhattan Nearest Secondary Market: New York City #J-18808-Ljbffr