Data Engineer, Engineering & Operations | JobSetuu

Description

Job Overview

• Source: Jobicy

Job Description

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.

Expert Career Tips for Data Engineer, Engineering & Operations Roles

To succeed in a competitive market as a Data Engineer, Engineering & Operations, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Data Engineer, Engineering & Operations requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Data Engineer, Engineering & Operations position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.