# Data Engineer, Engineering & Operations Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 115,000 - 145,000Department [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted1 Jul 2026Apply before1 Aug 2026Experience level Midweight Views / Applies 14 / 4 [About company](https://jobicy.com/company/nbcuniversal.md) [Share](#share) About [NBCUniversal](https://jobicy.com/company/nbcuniversal.md) NBCUniversal is a leading media and entertainment company that creates and distributes high-quality content across various platforms. * [Media Production](https://jobicy.com/company-category/media-production.md) * 2004 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. 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Upgrade to Plus ### AI Summary NBCUniversal seeks a Data Engineer for its Engineering & Operations team to design and operate scalable data pipelines, clean room environments, and privacy-safe data integrations. The role involves supporting partner onboarding, configuring access controls, and deploying Python-based libraries. The ideal candidate has strong SQL and Python skills and experience with Snowflake or Databricks. This position requires collaboration with product, engineering, and partner-facing teams. The role reports to the Director of Engineering & Operations. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires technical depth in data engineering, clean rooms, and security, but is guided by a director and established standards, so difficulty is moderate. ### Salary Analysis Median Highly Competitive USD130,000US Market USD95k – 160k 0 USD176k AI Insight The offered salary range of $115,000–$145,000 is competitive for a mid-senior Data Engineer role, aligning well with the US market median of $130,000. The upper end is strong for the required skills. ### Core Skills Required [SQL](https://jobicy.com/jobs?search_keywords=SQL.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md) [Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md) [Data Engineering](https://jobicy.com/jobs?search_keywords=Data+Engineering.md) [Data Pipelines](https://jobicy.com/jobs?search_keywords=Data+Pipelines.md) [Clean Room](https://jobicy.com/jobs?search_keywords=Clean+Room.md) [RBAC](https://jobicy.com/jobs?search_keywords=RBAC.md) [Privacy](https://jobicy.com/jobs?search_keywords=Privacy.md) [LiveRamp](https://jobicy.com/jobs?search_keywords=LiveRamp.md) ### Cover Letter Sample Dear Hiring Manager, I am excited to apply for the Data Engineer position on the Engineering & Operations team at NBCUniversal. With a strong background in building scalable data pipelines and secure clean room environments, I am eager to contribute to your data collaboration ecosystem. My expertise in SQL, Python, and cloud platforms like Snowflake and Databricks aligns perfectly with the technical requirements of this role. I have experience implementing privacy-preserving controls and role-based access, which I understand are critical for your partner onboarding workflows. I thrive in collaborative environments and am adept at coordinating with cross-functional teams to deliver reliable data solutions. I am particularly drawn to NBCUniversal’s commitment to innovation and diversity. Thank you for considering my application. I look forward to the possibility of discussing how my skills can support your team. Sincerely, [Your Name] Copy ### Sample Interview Questions Can you describe your experience with designing and implementing clean room environments?I have worked on building clean rooms using Snowflake and Databricks, focusing on privacy-preserving techniques like differential privacy and aggregation thresholds. I ensured secure data sharing and partner-specific access controls.How would you approach deploying Python libraries and templates across multiple partner environments?I would use version control (Git) and CI/CD pipelines to manage deployments. I'd containerize libraries with Docker and use configuration management to ensure consistency across environments.Explain how you would enforce granular RBAC policies in a data platform.I would define roles based on least privilege, using Snowflake’s RBAC capabilities. I'd create custom roles for different job functions, assign permissions at the schema/table level, and regularly audit access.Describe a time you optimized a data pipeline for performance and reliability.In a previous role, I refactored a Spark pipeline by partitioning data effectively and caching intermediate results, reducing runtime by 40%. I also added monitoring with Airflow for failure alerts.How do you ensure data privacy and security in a multi-tenant clean room?I implement row-level security, use encryption at rest and in transit, and employ SQL query validation to prevent unauthorized data extraction. Outputs are checked for aggregation thresholds before release. ## Company Description NBCUniversal is one of the world’s leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. ## Job Description We are seeking a Data Engineer to join the Engineering & Operations team. Reporting to the Director of Engineering & Operations, this role will design, build, and operate scalable data pipelines, clean room environments, identity workflows, and privacy-safe data integrations that support NBCUniversal’s data collaboration ecosystem. The ideal candidate is a hands-on data engineer with strong SQL and Python skills, experience working with cloud data platforms such as Snowflake or Databricks, and the ability to build secure, reliable, and repeatable data workflows for partner onboarding, audience activation, measurement, and reporting. Responsibilities Clean Room & Partner Onboarding * Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies. * Follow clean room architecture patterns that are secure, scalable, privacy-preserving, and repeatable across partner engagements. * Configure and manage clean room environments, including data access, environment setup, platform configuration, and release validation. * Serve as the technical owner for assigned partner onboarding efforts, coordinating with product, engineering, operations, privacy, and partner-facing teams. * Implement privacy-preserving controls such as aggregation thresholds, anonymization techniques, approved query patterns, and output validation checks. Infrastructure Setup & Library Deployment * Deploy and manage Python-based libraries, templates, and reusable components within the clean room and data platform ecosystem. * Support environment setup, configuration management, package deployment, and version-controlled release processes. * Partner with software engineering teams to operationalize reusable libraries for audience, measurement, reporting, and partner-facing workflows. * Ensure platform components are deployed consistently across partner environments and aligned with established engineering standards. Security, RBAC & Privacy Controls * Design, implement, and enforce granular role-based access control policies across data platform environments. * Configure least-privilege service accounts, roles, grants, schemas, shares, and data access patterns. * Partner with security, privacy, and platform teams to ensure access controls meet internal policies and partner-specific requirements. * Validate that partner-facing outputs adhere to privacy, security, and business requirements before release. Data Pipelines & Data Product Ownership * Design, build, and operate scalable ELT pipelines using advanced SQL, Snowpark, PySpark, dbt, or similar technologies. * Develop and provision curated Gold datasets for audience, measurement, activation, and reporting use cases. * Build reusable pipeline patterns that support batch and near real-time processing across Snowflake, Databricks, or similar platforms. * Translate business and analytical requirements into reliable, well-documented, production-ready data products. * Own pipeline performance, reliability, data correctness, and operational support for assigned data products. Identity Resolution & Data Collaboration * Implement and evolve identity resolution logic that maps internal NBCU data to third-party identifiers such as LUIDs, RampIDs, TransUnion IDs, or similar identity frameworks. * Support privacy-safe identity workflows for audience matching, measurement, activation, and partner collaboration. * Build validation checks to ensure identity mappings are accurate, secure, and compliant with approved usage patterns. * Work with internal teams and external partners to troubleshoot match rates, data quality issues, and onboarding discrepancies. Data Quality, Testing & Validation * Build automated data quality checks using tools such as Great Expectations, dbt tests, custom SQL assertions, or similar frameworks. * Define and monitor quality standards for schema drift, null rate spikes, volume anomalies, duplicate records, referential integrity, and unexpected data distribution changes. * Create test strategies for partner-facing releases, including input validation, output validation, regression testing, and privacy checks. * Document data assumptions, known limitations, validation logic, and operational support procedures. FinOps & Operational Excellence * Optimize query performance and platform costs through query tuning, clustering/partitioning strategies, caching, incremental processing, and workload management. * Implement query tagging, workload tracking, and chargeback/showback models to improve cost transparency and partner-level attribution. * Establish monitoring, alerting, runbooks, and standard operating procedures to improve platform reliability and reduce incident time-to-resolution. * Participate in incident response, root cause analysis, and continuous improvement efforts for production data workflows. ## Qualifications Required Qualifications Education * Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, Data Engineering, or a related technical field Data Engineering * 3+ years of experience in data engineering, including building and operating production data pipelines, data models, and data products SQL & Python * Deep proficiency in advanced SQL and Python for data processing, automation, pipeline development, validation, and operational support Cloud Data Platforms * 2+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies ELT & Orchestration * Experience building scalable ELT pipelines using tools such as Airflow, dbt, Snowpark, PySpark, or similar technologies Preferred Qualifications Clean Room Knowledge * Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu, or similar technologies Ad Tech / Measurement * Exposure to advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows Identity Resolution * Experience working with identity graphs, hashed identifiers, RampIDs, LUIDs, TransUnion IDs, device IDs, household IDs, or similar identity frameworks Certifications * Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification Additional Requirements Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 – $145,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles’ Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. 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