{"id":4243557,"url":"https://alion.io/job/paramount-data-engineer-data-pipelines-and-etl","title":"Data Engineer Data Pipelines and ETL","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":["Burbank, 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":"Anomaly Detection","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":"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":"2026-11-12T08:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T12:27:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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!\nData Engineer - Data Pipeline & ETL\n46034\nOverview and Responsibilities\nJob Summary\nThe Data Engineering team is hiring a Data Engineer - Data Pipeline & ETL. You will help build and maintain scalable data platforms and ETL/ELT pipelines in a fast-moving environment. In this role, you will build and support batch and real-time data systems powering analytics, ML, and AI applications. You will also grow your expertise in modern data architecture and cloud-native best practices.\nKey Responsibilities\nBuild and Maintain Scalable Data Pipelines\nDesign, develop, and maintain scalable batch and streaming data pipelines for large-scale structured and unstructured datasets.\nBuild robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use cases.\nOptimize pipelines for performance, reliability, scalability, and cost efficiency.\nImplement advanced ingestion patterns including CDC, incremental loads, and event-driven processing.\nData Modeling & Data Warehouse Architecture\nDesign scalable, dimensional, and hybrid data models optimized for analytics and ML use cases.\nDevelop reusable transformation layers (semantic layers) that serve BI, ML, and AI applications.\nWrite optimized, production-grade SQL for large-scale analytics workloads.\nContribute to query optimization, indexing, partitioning, and performance tuning across distributed systems and cloud warehouses.\nModern Data Pipeline Development\nBuild and maintain modular data components following established framework patterns.\nContribute to architectural decisions across streaming systems, data lakes, and warehouses.\nData Quality, Governance & Observability\nImplement automated data validation, anomaly detection, and monitoring frameworks.\nEstablish data lineage and metadata standards to support reproducibility in ML workflows.\nEnforce governance, privacy, and security best practices, particularly for sensitive AI datasets.\nEnsure responsible AI data usage and compliance standards.\nRequired Technical Skills\nAdvanced Data Pipeline & ETL/ELT Expertise\n2-4+ years of experience building and scaling ETL/ELT pipelines in production environments.\nExperience with workflow orchestration tools such as Airflow, Composer, or similar platforms.\nStrong understanding 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.\nStrong 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.\nFamiliarity integrating data pipelines with ML platforms such as Vertex AI (preferred), Databricks ML, or equivalent.\nStreaming & Event-Driven Systems\nExperience building real-time data pipelines using Kafka, Pub/Sub, or similar technologies.\nUnderstanding of feature streaming, low-latency data processing, and event-driven architectures.\nAbility 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.\nFamiliarity with vector databases, embeddings pipelines, and AI-serving infrastructure is a plus.\nBasic Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).\n2-4+ years of experience in data engineering, data pipeline development, or related fields.\nStrong foundation in modern data engineering principles, distributed systems design, and cloud-native architectures.\nDemonstrated ability to design and operate large-scale production data systems.\nProven track record of technical leadership and cross-functional collaboration.\nStrong problem-solving skills and ability to thrive in complex, fast-paced environments.\nDetail-oriented and committed to engineering excellence and continuous improvement.\nUnderstanding of feature streaming, low-latency data processing, and event-driven architectures. Work closely with the streaming team and architect/build Realtime dashboards using Superset. Cloud & Modern AI Data Platforms.\nExperience designing cloud-native data architectures (GCP preferred) Experience with Lakehouse architectures and cloud data warehouses. Knowledge with vector databases, embeddings pipelines, and AI-serving infrastructure is a plus.\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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