Sr. Data Engineer

Relha LLC; Mountain View, Northern (CA, KY); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision benefits

Life Insurance

401(k) plan

Employee Purchase Program

Tuition Assistance

Paid Time Off

Student Loan Program

Wellness incentives

Job summary

Samsung Ads is expanding its Performance & Reach engineering group to build foundational data platforms for large-scale advertising datasets. You will work across cross-functional teams to deliver production-grade data solutions for campaign delivery, reporting, and billing.

The role offers growth opportunities, mentoring, and potential to advance into technical leadership, with on-site work in Mountain View, CA and collaboration with teams across North America, Europe, and Asia.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or a related field; or equivalent practical experience
• Programming experience in Python; GoLang and Java preferred; Scala nice to have
• Understanding of data technologies including Snowflake, Spark, and SQL
• Experience with or eagerness to learn streaming data systems such as Kafka, Flink, or Kinesis
• Familiarity with workflow orchestration tools (e.g., Airflow) or willingness to learn
• Understanding of data modeling and software engineering best practices
• Strong communication and collaboration skills with growth mindset

Responsibilities

• Contribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large-scale advertising datasets
• Support development and optimization of data models for reporting, billing, and campaign delivery systems
• Participate in building and maintaining batch and real-time data processing workflows handling billions of events daily
• Help ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checks
• Contribute to Snowflake optimization including query performance and cost-efficient data processing patterns
• Support workflow orchestration for multi-stage data pipelines
• Follow engineering standards for CI/CD pipelines, test coverage, and deployment quality gates

Skills

Python

Go

Java

Spark

SQL

Kafka

Flink

Kinesis

Airflow

AWS

Docker

Kubernetes

Data modeling

Education

Bachelor's or Master's in CS/EE/Data Science or related field

Tools

Snowflake

Spark

Airflow

Job description

Samsung Ads is a fast-growing, advanced advertising technology business that helps brands connect with audiences across Samsung Smart TVs and digital ecosystems. By leveraging the industry's most comprehensive data and world-class technology, we're building one of the most intelligent and effective advertising platforms in the world.

As part of a global company with teams and stakeholders across North America, Europe, and Asia, Samsung Ads offers an opportunity to work on cutting‑edge, high‑impact projects at scale. Our culture is rooted in innovation, collaboration, and entrepreneurial energy — we thrive on solving complex problems, pushing boundaries, and celebrating progress together.

Position Summary:

We are seeking Data Engineers at all experience levels to join the Performance & Reach engineering organization within Samsung Ads. You will contribute to the foundational data systems that power our Performance Ads and Reach Demand product lines, working with large‑scale advertising datasets to support campaign delivery, reporting, and billing for global advertisers.

You'll work closely with Product, Data Science, Machine Learning, and Application Engineering teams to deliver production‑grade data solutions. This position offers significant growth opportunities and mentoring, with the potential to advance into technical leadership roles.

Role and Responsibilities

Key Responsibilities:

• Contribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large‑scale advertising datasets
• Support development and optimization of data models for reporting, billing, and campaign delivery systems
• Participate in building and maintaining batch and real‑time data processing workflows handling billions of events daily
• Help ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checks
• Contribute to Snowflake optimization including query performance and cost-efficient data processing patterns
• Support workflow orchestration for multi‑stage data pipelines
• Follow engineering standards for CI/CD pipelines, test coverage, and deployment quality gates

Technical Growth & Leadership:

• Collaborate with cross‑functional and cross‑site teams to translate business requirements into technical solutions
• Participate in architecture and design reviews for data systems
• Learn and apply data engineering best practices and operational excellence
• Develop prototypes and contribute to proofs of concept
• Adopt AI‑assisted development practices and GenAI tool adoption

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field; or equivalent practical experience
• Programming experience in Python; GoLang and Java preferred; Scala nice to have
• Understanding of data technologies including Snowflake, Spark, and SQL
• Experience with or eagerness to learn streaming data systems such as Kafka, Flink, or Kinesis
• Familiarity with workflow orchestration tools (e.g., Airflow) or willingness to learn
• Understanding of data modeling and software engineering best practices
• Strong communication and collaboration skills with growth mindset

Experience Levels:

• Entry Level (0-2 years): New graduates or early‑career professionals with relevant coursework, internships, or personal projects
• Mid Level (2-5 years): Solid experience with data systems and data engineering
• Senior Level (5+ years): Proven track record of building and operating large‑scale data systems with technical leadership experience

Preferred Qualifications:

• Experience with cloud platforms, particularly Amazon Web Services (AWS)
• Background in digital advertising, programmatic systems, or ad measurement platforms
• Experience with containerization and orchestration (Kubernetes, Docker)
• Experience with data quality frameworks and automated validation pipelines
• Knowledge of statistical methods and data‑driven performance analysis
• Experience with infrastructure-as-code and CI/CD automation
• Experience with large‑scale reporting, data warehousing, or billing systems
• Work with world‑class datasets and large‑scale systems powering billions of ad impressions daily
• Contribute to the foundational data platform that drives decision‑making across the entire advertising business
• Collaborate with cross‑disciplinary and cross‑site teams driving the next generation of connected TV and digital advertising
• Grow your career with mentoring opportunities, technical leadership development, and advancement paths
• Be part of a global, high‑performance culture that values creativity, innovation, and ownership
• Learn from industry experts and work on cutting‑edge technology in one of the most dynamic sectors in tech

Skills and Qualifications

Compensation for this role, for candidates based in Mountain View, CA is expected to be between $170,000 ~ $210,000 base. 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

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