Senior Data Engineer - Infrastructure

This Senior Data Engineer role in the Data Labs infrastructure team owns and maintains AWS cloud accounts and Databricks workspaces, optimizing pipeline executions and modernizing the tech stack to reduce technical debt. The engineer serves as the technical backbone for data production, analyst, and data science teams, ensuring scalable, reliable, and cost-effective infrastructure for custom client data products. Requires 4+ years of experience with production-grade cloud environments, Infrastructure-as-Code, and big data tools like Spark and Airflow.

Builds and maintains data pipelines and architectures, ensuring data quality and optimizing data processing workflows.

This role is a senior data engineering position responsible for building and maintaining data pipelines and infrastructure to support analytics and business intelligence. The role requires expertise in data engineering technologies and best practices.

Design and maintain data pipelines and infrastructure to support SeenThis's analytics and streaming technology. Ensure data reliability and scalability.

This role focuses on developing software solutions for data engineering challenges in the workforce intelligence domain. The position involves building scalable data processing systems and tools to support analytics and product features.

This role focuses on analyzing workforce data to generate insights and support research initiatives. The position involves working with large datasets, performing statistical analysis, and contributing to the development of workforce intelligence products.

This role focuses on building and optimizing data flow pipelines that process large volumes of workforce data. The position involves working on data ingestion, transformation, and orchestration to ensure reliable and efficient data delivery.