Senior Software Engineer, Measurement & Reporting
LG Ad Solutions3 months ago
Denver, CO, USA or New York, NY, USASenior
Base Salary
$135k - $220k/yr
Responsibilities
- Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems.
- Build and optimize batch and real-time data processing solutions using data engineering frameworks and cloud-native technologies.
- Design and maintain data models, data warehouses, and data lakes.
- Develop integrations between internal and external systems to support efficient and consistent data movement.
- Build and enhance agentic AI applications using LLMs, AI agents, orchestration frameworks, and automation workflows.
- Collaborate with product, analytics, operations, and engineering teams on AI-driven automation and decision-making opportunities.
- Contribute to backend services and APIs supporting data products, reporting applications, and AI-powered solutions.
- Occasionally develop frontend features and dashboards for internal and customer-facing applications.
- Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency.
- Implement data governance, quality checks, monitoring, and observability practices.
- Conduct code reviews, mentor junior engineers, and promote engineering best practices.
- Coordinate contractors and consultants while owning the quality and delivery of assigned projects.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- At least five years of experience in data engineering, software engineering, or a related technical role.
- Experience building large-scale data pipelines and distributed data processing systems.
- Proficiency in Python and SQL and experience developing production-grade data solutions.
- Experience with data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies.
- Understanding of data modeling, data warehousing, and data lake architectures.
- Experience with relational and NoSQL databases, including examples such as MySQL, PostgreSQL, MongoDB, and Redis.
- Familiarity with AWS, Azure, or Google Cloud.
- Experience building APIs and backend services.
- Familiarity with Generative AI, AI agents, prompt engineering, retrieval-augmented generation, and agent orchestration frameworks.
- Ability to learn and adopt new AI tools, frameworks, and emerging technologies quickly.
- Proficiency writing and maintaining unit, integration, and end-to-end tests.
- Ability to coordinate contractors or consultants while owning project quality and delivery.
- Preferred experience includes Scala/PySpark, Databricks, Delta Lake, LangGraph, LangChain, CrewAI, AutoGen, vector databases, semantic search, Docker, Kubernetes, React, TypeScript, JavaScript frameworks, observability, monitoring, and data quality tools.
- AdTech familiarity is preferred.
Benefits
- On-site four days per week at the Manhattan or Denver office
- Relocation support is not available
- Equal opportunity employment and reasonable accommodation support are provided
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSAzureDatabricksDockerGoogle BigQueryGoogle CloudJavaScriptKubernetesMongoDBMySQLPostgreSQLPythonReactRedisScalaSnowflakeSQLTypeScript
Categories
About LG Ad Solutions
LG Ad Solutions builds a connected TV advertising and analytics platform that helps brands plan, target, and measure campaigns across smart TVs and digital video. It combines premium LG smart TV ad inventory with TV viewership data and attribution tools for cross-screen activation and reporting. Founded in 2013 and headquartered in Mountain View, it operates as a subsidiary of LG Electronics.