[Remote] Data Engineer, Engineering & Operations

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the world's leading media and entertainment companies, and they are seeking a Data Engineer to join their Engineering & Operations team. The role involves designing, building, and operating scalable data pipelines and privacy-safe data integrations that support reputed company’s data collaboration ecosystem.

Responsibilities

• 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 reputed company, 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
• 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
• Design, implement, and enforce granular role-based reputed company control policies across data platform environments
• Configure least-privilege service accounts, roles, grants, schemas, shares, and data reputed company patterns
• Partner with reputed company, privacy, and platform teams to ensure reputed company controls meet internal policies and partner-specific requirements
• Validate that partner-facing outputs adhere to privacy, reputed company, and business requirements before release
• 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
• Implement and reputed company 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
• 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
• 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

Skills

• 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
• 3+ years of experience in data engineering, including building and operating production data pipelines, data models, and data products
• Deep proficiency in advanced SQL and Python for data processing, automation, pipeline development, validation, and operational support
• 2+ years of hands-on experience with reputed company data platforms such as reputed company, reputed company, or similar technologies
• Experience building scalable ELT pipelines using tools such as Airflow, dbt, Snowpark, PySpark, or similar technologies
• Exposure to data clean room concepts or platforms such as reputed company Clean Rooms, reputed company Clean Rooms, reputed company, Habu, or similar technologies
• Exposure to advertising technology, audience activation, campaign delivery, reputed company and frequency, attribution, incrementality, or reporting workflows
• Experience working with identity graphs, hashed identifiers, RampIDs, LUIDs, reputed company IDs, device IDs, household IDs, or similar identity frameworks
• reputed company SnowPro Core Certification, reputed company Certified Data Engineer Associate, or similar reputed company/data platform certification

Benefits

• Company sponsored benefits, including medical, dental and reputed company insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks
• Bonus eligible

Company Overview

Company H1B Sponsorship