{"id":4243912,"url":"https://alion.io/job/paramount-data-engineer-self-service-analytics-and-real-time-data-platforms","title":"Data Engineer Self Service Analytics and Real Time Data Platforms","company":{"id":6984,"name":"Paramount","domain":"paramount.com","url":"https://alion.io/company/paramount","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":98400,"max":147600,"currency":"USD","period":"year","gross":null,"usd_annual":147600},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-16T07:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-13T12:27:52Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Storytelling is, and will always be, the heart of what we do at Skydance.\nOur vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.\nHere, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.\nIf you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!\nOverview\nThe Data Engineering team is seeking a Data Engineer - Self-Service Analytics & Real-Time Data Platforms. In this role, you will help build scalable data products, semantic layers, and real-time data platforms. These platforms enable trusted, governed, and self-service access to data. You will develop solutions that power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences.\nKey Responsibilities\nSelf-Service Analytics & Real-Time Data Platforms\nDesign, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines. These pipelines will process large-scale structured and unstructured datasets.\nDesign and maintain semantic layers, metrics frameworks, and curated data products.\nEnable self-service analytics through governed and reusable business data models.\nImplement monitoring, observability, and operational best practices.\nDevelop governed data access patterns for AI, conversational analytics, and MCP-based applications.\nBuild AI-ready data products that support machine learning, GenAI, AI agents, and chatbot applications.\nPartner with Product, Analytics, BI, and Engineering stakeholders to deliver trusted data solutions.\nData Modeling & Platform Architecture\nDesign scalable data models optimized for analytics, real-time reporting, and AI use cases.\nDevelop reusable semantic and transformation layers that provide consistent business definitions.\nDrive best practices for data quality, governance, metadata, and discoverability.\nRequired Technical Skills\nAdvanced Data Pipeline & ETL/ELT Expertise\n2-4+ years of experience building and scaling ETL/ELT pipelines in production environments.\nProven experience with workflow orchestration tools such as Airflow, Composer, or similar platforms.\nWorking knowledge of distributed data processing concepts.\nSQL & Data Modeling for Analytics & ML\nExpert-level SQL skills for large-scale transformation and analytics.\nExperience designing scalable warehouse schemas and ML-ready data layers.\nProven experience optimizing complex queries across multi-terabyte datasets.\nProgramming & ML Data Integration\nProficiency in Python (or similar language) for data processing and ML pipeline integration.\nExperience with distributed processing frameworks such as Spark.\nExperience integrating data pipelines with ML platforms such as Vertex AI (preferred), Databricks ML, or equivalent. This includes model training, batch/online inference, and pipeline orchestration.\nStreaming & Event-Driven Systems\nExperience building real-time data pipelines using Kafka, Pub/Sub, or similar technologies.\nKnowledge of feature streaming, low-latency data processing, and event-driven architectures.\nAbility to work closely with the streaming team to architect and build real-time dashboards using Superset.\nCloud & Modern AI Data Platforms\nExperience designing cloud-native data architectures (GCP preferred).\nExperience with lakehouse architectures and cloud data warehouses.\nKnowledge of vector databases, embeddings pipelines, and AI-serving infrastructure is a plus.\nQualifications\nBachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).\n2-4+ years of experience in data engineering, data pipeline development, or related fields.\nSolid foundation in modern data engineering principles, distributed systems design, and cloud-native architectures.\nDemonstrated ability to design and operate large-scale production data systems.\nExcellent problem-solving skills with the ability to work in dynamic, high-velocity environments.\nMotivated, thorough, and committed to engineering excellence and ongoing improvement.\nParamount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.\nADDITIONAL INFORMATION\nHiring Salary Range: $98,400.00 - 147,600.00.\nThe hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.\nWhat We Offer:\nAttractive compensation and comprehensive benefits packages. Check out our full list of benefits here.\nGenerous paid time off.\nComplimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products.\nRobust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more.\nSkydance is an equal opportunity employer (EOE)\nWe embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.\nIf you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to . 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