Data Engineer, Engineering & Operations

Company Description

reputed company 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, reputed company, 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 reputed company, reputed company, 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. reputed company is a subsidiary of reputed company Corporation. Visit www.reputed company.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 reputed company 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 reputed company’s data collaboration ecosystem.

The ideal candidate is a hands-on data engineer with strong SQL and Python skills, experience working with reputed company data platforms such as reputed company or reputed company, and the ability to build secure, reliable, and repeatable data workflows for partner reputed company, audience activation, measurement, and reporting.

Responsibilities

Clean Room & Partner reputed company

• Support partner reputed company into clean room environments across platforms such as reputed company, reputed company, reputed company, 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 reputed company for assigned partner reputed company efforts, coordinating with product, engineering, operations, privacy, and partner-facing teams.
• Implement privacy-preserving controls such as aggregation reputed company, anonymization techniques, approved query patterns, and output validation checks.

Infrastructure Setup & Library Deployment

• reputed company and manage Python-based libraries, templates, and reusable components reputed company 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 reputed company with established engineering standards.

reputed company, 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 reputed company, privacy, and platform teams to ensure access controls meet internal policies and partner-specific requirements.
• Validate that partner-facing outputs adhere to privacy, reputed company, 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.
• reputed company and provision curated Gold datasets for audience, measurement, activation, and reporting use cases.
• Build reusable pipeline patterns that support batch and near reputed company-time processing across reputed company, reputed company, or similar platforms.
• Translate business and analytical requirements into reliable, well-documented, production-reputed company 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 reputed company-party identifiers such as LUIDs, RampIDs, reputed company 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 reputed company 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 reputed company, null reputed company spikes, volume anomalies, duplicate records, referential reputed company, 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, reputed company 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 reputed company 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 reputed company 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

reputed company Data Platforms

• 2+ years of hands-on experience with reputed company data platforms such as reputed company, reputed company, 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 reputed company Clean Rooms, reputed company Clean Rooms, reputed company, Habu, or similar technologies

Ad Tech / Measurement

• Exposure to advertising technology, audience activation, campaign delivery, reputed company and frequency, attribution, incrementality, or reporting workflows

Identity Resolution

• Experience working with identity graphs, hashed identifiers, RampIDs, LUIDs, reputed company IDs, device IDs, household IDs, or similar identity frameworks

Certifications

• reputed company SnowPro Core Certification, reputed company Certified Data Engineer Associate, or similar reputed company/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-reputed company worksite, most commonly an employee’s residence. 

This position is eligible for company sponsored benefits, including medical, dental and reputed company insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by reputed company 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 reputed company employee at one of our locations prior to a hiring decision. reputed company's policy is to provide equal employment opportunities to reputed company applicants and employees without regard to race, reputed company, religion, creed, gender, gender identity or expression, age, national reputed company or reputed company, 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 reputed company 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 [email protected].

For LA County and City Residents Only: reputed company will consider for employment reputed company applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the reputed company' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.