Senior Software Engineer, Measurement & Reporting

About the role

We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. This role involves designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. Additionally, 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

• 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.
• Develop and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data.
• Develop 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.