Senior Software Engineer, Measurement & Reporting

LG Ad Solutions; Denver (CO); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible work schedule

Professional development opportunities

Job summary

LG Ad Solutions is looking for a Senior Software Engineer I for their Measurement and Reporting team in Denver. The role focuses on building and maintaining large-scale data pipelines and developing AI applications to enhance operational efficiency.

The ideal candidate will have at least 5 years of experience in data engineering and a strong proficiency in Python and SQL. They will also work on delivering innovative solutions to clients across various verticals. The company emphasizes accessibility in the hiring process and encourages all qualified candidates to apply.

Qualifications

• 5+ years of experience in data engineering, software engineering, or related fields.
• Strong experience in large-scale data processing.
• Ability to mentor junior engineers.

Responsibilities

• Design and maintain scalable data pipelines and systems.
• Build and optimize batch and real-time processing solutions.
• Collaborate with teams for AI-driven automation.

Skills

Data pipelines development

Python programming

SQL proficiency

Cloud platforms knowledge

Data modeling

Generating AI technologies knowledge

Collaboration

Education

Bachelor's or Master's in Computer Science or related field

Tools

Databricks

Spark

Kafka

Airflow

Snowflake

BigQuery

Redshift

Job description

Location and Relocation

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

About LG Ad Solutions

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.

The Opportunity

We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution.

You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences.

If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you!

Responsibilities

• Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications.
• Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies.
• Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data.
• Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms.
• Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems.
• Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making.
• Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions.
• Occasionally develop frontend features and dashboards to support 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 to ensure data integrity and operational excellence.
• Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team.
• Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience in data engineering, software engineering, or a related technical role.
• Strong experience building and maintaining large-scale data pipelines and distributed data processing systems.
• Proficiency in Python and SQL, with experience developing production-grade data solutions.
• Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies.
• Strong understanding of data modeling, data warehousing, and data lake architectures.
• Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience building APIs and backend services.
• Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks.
• Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks.
• Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests.
• Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects.

Preferred

• Familiarity with AdTech.
• Experience with Scala/PySpark and distributed data processing frameworks.
• Experience with Databricks and Delta Lake.
• Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
• Familiarity with vector databases and semantic search technologies.
• Experience with CI/CD pipelines and Infrastructure as Code.
• Familiarity with containerization (Docker) and orchestration platforms (Kubernetes).
• Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks.
• Experience with observability, monitoring, and data quality tools.

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 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.

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.