Sr. Data Engineer

Position Summary Samsung TV Plus is a premium global entertainment service committed to delivering exceptional experiences for everyone and every moment. It is a leader in FAST with more than 100million monthly active users, offering thousands of on‑demand shows and movies in one place. The streaming service carries over 4,300 ad‑supported linear channels across 30 countries and is accessible exclusively on active Samsung devices. Samsung TV Plus serves as the exclusive FAST home to curated channels and live events including the 2025 Jonas Brothers’ JONAS20 Tour, Letterman TV, Conan O’Brien TV, The Ringer from Spotify, BillboardTV, and top digital creators such as Mark Rober TV, Dhar Mann TV, and Michelle Khare’s Challenge Accepted. The service is available on Samsung TVs, Galaxy devices, Samsung Smart Monitor, and Family Hub. We are seeking a Senior Data Engineer to join our Data Analytics & Insights team to architect, scale, and optimize our global data platform. The role involves owning high‑performance data infrastructure, designing robust ETL/ELT pipelines, and managing our cloud data warehouse environment—all directly enabling advanced analytics, ROI measurement, and AI deployment across global engineering and analytics teams. Role and Responsibilities Data Platform & Warehouse Architecture Own technical design, implementation, and scaling of 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 Qualifications 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, BigQuery, or equivalent). 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 CloudFormation, Pulumi, or equivalent) and CI/CD version control workflows. Data Modeling Deep understanding of data warehousing methodologies and Star schema design. Preferred Qualifications 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., PowerBI, 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 The total compensation for this role, for a candidate based in LosAngeles, California, is expected to be between$180,000and$220,000. Actual pay will be determined based on relevant skills, experience, and internal compensation benchmarks. Regular full‑time employees have access to benefits, including medical, dental, vision, life insurance, 401(k), employee purchase program, tuition assistance (after 6months), paid time off, student loan program (after 6months), wellness incentives, and more. Equal Employment Opportunity Statement Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in the application process. Please contact the Reasonable Accommodation Team at View phone number on click.appcast.io or View email address on click.appcast.io for assistance. #J-18808-Ljbffr Samsung Electronics Perú