Software Engineer II

LG Ad Solutions; New York (NY); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Equal Opportunity Employment

Request for Accommodation

Job summary

LG Ad Solutions is seeking a highly driven Software Engineer to join our Data & Platform Engineering team. This on-site role in NYC focuses on designing and building robust, terabyte-scale data pipelines for advertising systems.

The ideal candidate will have a Bachelor's in Computer Science, 1-2 years of experience, and proficiency in Data Structures. Collaboration with teams in the US and India is essential, targeting core hours that overlap with US time zones.

Qualifications

• 1 to 2 years of relevant professional software development experience, strong preference for Backend or Data Engineering roles.
• Solid understanding of core Computer Science concepts, specifically Operating Systems, Computer Networks, and DBMS.
• Exceptional problem-solving and analytical skills, with proactive, self-starter attitude.

Responsibilities

• Build and maintain understanding across multiple complex data pipelines and platform projects owned by the team.
• Design, develop, test, and deploy robust backend services and data pipelines processing terabytes of data.
• Build and maintain internal tooling to enforce strict Data Governance and Data Compliance standards.

Skills

Data Structures and Algorithms

Problem-solving

Analytical skills

Technical communication

Education

Bachelor's Degree in Computer Science, Engineering, or related field

Tools

Apache Spark (PySpark or Scala-Spark)

Databricks

Apache Airflow

AWS, GCP, or Azure

Job description

We require people to be on-site, 4 days/week at our Denver or NYC office and are unable to offer relocation support.

LG Ad Solutions is a global leader in connected TV (CTV) and cross‑screen advertising. We pride ourselves on delivering state‑of‑the‑art advertising solutions that integrate seamlessly with today's ever‑evolving digital media landscape.

Opportunity

We are looking for a highly driven Software Engineer to join our Data & Platform Engineering team at LG Ad Solutions. In this role, your primary focus will be designing, building, and scaling robust, terabyte‑scale data pipelines that power our core advertising (DSP/SSP) and Automatic Content Recognition (ACR) systems. Beyond just moving data, you will be instrumental in developing essential Data Platform‑related tooling, establishing rigorous Data Governance frameworks, and ensuring strict Data Compliance across our massive data ecosystem. This role is designed for an engineer who thrives on ownership, possesses strong computer science fundamentals, and is ready to tackle the complex distributed systems challenges inherent in managing high‑velocity, high‑volume data that directly impacts 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

• 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).

Equal Opportunity Statement

LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

Accommodation Request

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to [e-mail] to let us know the nature of your request.