Sr. Data Engineer

Role Overview

The Samsung TV Plus is seeking a Senior Data Engineer to join our Data Analytics & Insights team to architect, scale, and optimize our global data platform. You will own high-performance data infrastructure, design robust ETL/ELT pipelines, and manage our cloud data warehouse environment — directly enabling advanced analytics, ROI measurement, and AI deployment across global engineering and analytics teams.

• 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.

• 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 Technologies (or equivalent tools):
• Cloud Data Warehousing:
  Extensive hands‑on experience designing and managing enterprise environments in Snowflake (or Databricks, Big Query, or equivalent cloud data warehouses).
• Languages:
  
  Advanced proficiency in Python and SQL (analytical functions, window functions, and query optimization).
• Data Transformation:
  Production experience with dbt (or equivalent SQL-based transformation frameworks).
• Pipeline Orchestration:
  Experience orchestrating complex pipelines using Apache Airflow (or Prefect, Dagster, or equivalent workflow orchestrators).
• Cloud Infrastructure:
  Practical experience with the AWS ecosystem (or GCP, or equivalent cloud platforms).
• Infrastructure & CI/CD:
  Familiarity with Infrastructure as Code (IaC) tools like Terraform (or Cloud Formation, Pulumi, or equivalent tools) and CI/CD version control workflows.
• Data Modeling:
  Deep understanding of data warehousing methodologies and Star schema design.

• Data Observability & Governance:
  Using tools like Snowflake DMFs, Great Expectations, Monte Carlo, or dbt test to ensure end-to-end pipeline reliability.
• BI Integration:
  Functional understanding of BI server modeling layer integrations (e.g., Power
  
  BI, Tableau, or equivalent).
• Media & AdTech Context:
  Experience working with digital media, streaming analytics, or AdTech datasets.
• Cross-cultural
  
  Collaboration:
  
  Experience working with global teams across different time zones (specifically collaborating with Korea tech HQ).

Compensation for this role, for candidates based in California is expected to be between $180,. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including:
Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.