Software Engineer, Data & Platform Engineering

About the Role

We are seeking a highly driven Software Engineer to join our Data & Platform Engineering team. This role focuses on designing, building, and scaling robust, terabyte-scale data pipelines for our core advertising (DSP/SSP) and Automatic Content Recognition (ACR) systems. You will also develop essential Data Platform-related tooling, establish Data Governance frameworks, and ensure Data Compliance across our massive data ecosystem. This position is ideal for an engineer who thrives on ownership, possesses strong computer science fundamentals, and is ready to tackle complex distributed systems challenges in high-velocity, high-volume data environments that directly impact company revenue.

Responsibilities

• System Ownership: Build and maintain a comprehensive understanding across multiple complex data pipelines and platform projects owned by the team.
• Core Data Engineering: Design, develop, test, and deploy robust backend services and data pipelines processing terabytes of advertising and ACR data.
• Platform & Governance: Build and maintain internal platform tooling to enforce strict Data Governance, Data Quality, and Data Compliance standards across all data assets.
• Task Definition & Scoping: Autonomously define the scope, technical enhancements, and deliverables for features of limited complexity, and provide accurate time estimates.
• Feature Set Contribution: Effectively contribute to the planning and development of features affecting multiple components across our data ecosystem with minimal guidance.
• Advanced Debugging: Independently troubleshoot, debug, and resolve somewhat complex bugs within distributed environments and massive-scale data processing workflows.
• Technical Communication: Comprehend and clearly communicate complex technical concepts—including technical designs, system architecture, and key engineering decisions—to both technical and non-technical stakeholders.
• Global Collaboration: Work closely with product managers, data scientists, and engineering counterparts in the US and India (requiring overlap with US time zones, typically aligning with core hours of 8 AM - 11 AM MST).

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related technical field.
• 1 to 2 years of relevant professional software development experience, with a strong preference for Backend or Data Engineering roles.
• Strong proficiency in Data Structures and Algorithms.
• Solid understanding of core Computer Science concepts, specifically Operating Systems, Computer Networks, and DBMS.
• Exceptional problem-solving and analytical skills, with a proactive, self-starter attitude.
• Clear and effective communication of technical challenges, both verbally and in writing.
• Demonstrated ability to collaborate effectively across time zones.

Preferred Qualifications

• Experience with Big Data processing frameworks, specifically Apache Spark (PySpark or Scala-Spark).
• Hands-on experience with modern data platforms like Databricks and orchestration tools like Apache Airflow.
• Experience building, maintaining, and scaling complex ETL processes.
• Familiarity with cloud computing platforms (AWS, GCP, or Azure) and related infrastructure.
• Understanding of distributed systems concepts and proficiency in Low-Level Design (LLD).

Benefits & Perks

• 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents.
• Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage.
• 401(k) with company match.
• Flexible Time Off (FTO).
• Paid parental leave.
• Offers Bonus.

LG Ad Solutions provides equal work opportunities to all team members and applicants and prohibits discrimination and harassment of any type on the basis of protected characteristics. We ensure our hiring process is accessible; if you need reasonable accommodation, please contact careers@lgads.tv.