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Sr. Data Engineer

Sam*** · Los Angeles, CA, United States
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Los Angeles, CA, United States180,000-220,000 USD/yearlyOnsite
Remuneration
180,000-220,000 USD/yearly
Location
Los Angeles, CA, United States
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Job summary

Position Summary Samsung TV Plus is a premium global entertainment service committed to delivering exceptional experiences for everyone and every moment. As a leader in FAST with more than 100 million monthly active users, Samsung TV Plus offers thousands of shows and movies on-demand all in one place.

Benefits

Please visit Samsung membership to see Privacy Policy, which defaults accordingYou can change Country/Language at the bottom of the page.At Samsung, we believe that innovation and growth are driven by an inclusive culWe aim to create a global team where everyone belongs and has equal opportunitieTogether, we are building a better tomorrow for our customers, partners, and comSamsung Electronics America, Inc.Reasonable Accommodations for Qualified Individuals with Disabilities During theThis number is for accommodation requests only and is not intended for general e

Qualifications

  • Samsung TV Plus is a premium global entertainment service committed to delivering exceptional experiences for everyone and every moment.
  • Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative discipline (Master's preferred).
  • Experience: 8+ years of professional experience in data engineering, backend software engineering, or data platform architecture.
  • Core
  • Data Observability & Governance: Using
  • Compensation for this role for a candidate based in Los Angeles, California expected to be between $180,000 and $220,000.
  • Actual pay will be determined considering factors such as relevant

Responsibilities

  • Data Platform & Warehouse Architecture: Own the technical design, implementation, and scaling of our enterprise cloud data warehouses and centralized cloud storage platforms.
  • Lead performance tuning, cost optimization, and query scaling strategies.
  • Pipeline Development (ETL/ELT): Build, monitor, and maintain robust batch and streaming data pipelines using SQL, Python, and modern workflow orchestration engines to ingest high-volume, global streaming datasets.
  • Modern Data Modeling: Architect clean, modular, and optimized analytics schemas using automated data modeling and transformation frameworks to ensure reliable, analysis-ready datasets.
  • Data Observability & Governance: Establish rigorous data quality frameworks, observability metrics, and automated monitoring tests to ensure end-to-end pipeline reliability and prevent data downtime.
  • Global Stakeholder Collaboration: Partner with cross-functional engineering, analytics, and business stakeholders in LA and Korea HQ to translate complex business logic into scalable data schemas and robust systems.
  • Technical Leadership: Mentor junior engineers, establish best practices for data engineering (CI/CD, code reviews, version control), and champion modern data stack methodologies across the organization.
  • Required

Skills

Leadership

Degrees

AssociateDegreeMaster

Industry

AutomotiveEducationEnergyInsuranceLogisticsMedia

Company size

EnterpriseSmb

Contract length

6 months