Senior Data Engineer – Data Architecture, Modeling

🕒 il y a 8 jours

🗽 New York – Distant

🗽 New York – Remote

💵 $110 000 - $165 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Paramount

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1912

💼 Conseil

📣 Marketing

📱 Médias

Consulting • Marketing • Media

Paramount est une entreprise mondiale de divertissement et d'actualités multimédias qui propose une gamme de services incluant la vidéo à la demande par abonnement numérique direct au consommateur et le streaming en direct via Paramount+. Elle possède également Pluto TV, un service de télévision en streaming gratuit de premier plan, MTV, la première marque mondiale de divertissement pour la jeunesse, et CBS Sports, un leader dans la diffusion télévisée de sports. Depuis 1912, Paramount Pictures est un producteur et distributeur légendaire de films, avec une bibliothèque de plus de 1 000 titres. L'entreprise est profondément engagée envers l'inclusion et l'impact, en se concentrant sur la diversité, la durabilité mondiale et le contenu qui provoque des changements. Étant un acteur majeur dans les services de streaming en direct et à la demande, Paramount embrasse une large gamme de contenus allant des sports au divertissement pour enfants, à la comédie et aux documentaires révolutionnaires, touchant à la fois les plateformes linéaires et de streaming à l'échelle mondiale.

Description

• 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 o understand patterns and develop actionable insights o develop new initiatives to improve business KPIs such as usage, revenue, etc. o 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

🎯 Exigences

• BA/BS in Computer Science, Math, Physics, Engineering, Economics, Statistics or 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 / lakehouse (Snowflake, BigQuery, or Databricks) • Experience working with JSON, Parquet, etc. types of files • Proficient in Python for data processing and pipeline development • Experience with dbt (or equivalent transformation framework) • Experience with orchestration tools (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 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.

🏖️ Avantages

• medical • dental • vision • 401(k) plan • life insurance coverage • disability benefits • tuition assistance program • PTO • bonus eligible