Lgads
Senior Software Engineer, Measurement & Reporting
New York, NY · Senior
No sponsorshipDetected 35 days ago
JavaScriptTypeScriptPythonScalaReactBackend DevelopmentCode ReviewSQLNoSQLPostgreSQLMySQLMongoDBRedisBigQuerySnowflakeRedshiftDatabricksVector DatabasesAWSAzureCloud PlatformsDockerKubernetesCI/CD
About the role
- 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.
- 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.
Responsibilities
- 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.
- You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences.
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.
- 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.
- Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration 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.
Nice to have
- Familiarity with AdTech.
- Experience with Scala/PySpark and distributed data processing frameworks.
- Experience with Databricks and Delta Lake.
- 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.
Skills
- LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising.
Benefits
- Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications.
- Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence.
This listing is sourced directly from Lgads's careers page and normalized into a canonical job model.