Jobs at People Data Labs

Supports company IT and security operations in a fully remote environment. Responsibilities include helpdesk and endpoint support, authentication and access management, security and compliance automation, disaster recovery, vendor management, system migrations, security tooling, and cross-functional technical project planning. The role also helps maintain audit-ready processes and supports AWS security, identity providers, compliance platforms, scripting, and remote security tools.

Build scalable data ingestion, transformation, and loading infrastructure using Spark, SQL, AWS, and Databricks. Develop entity resolution systems, CI/CD pipelines, anomaly detection, and high-quality data products. Design scalable processing and storage patterns, orchestration workflows, and data warehousing solutions while collaborating remotely and documenting technical designs.

Build scalable data ingestion, transformation, and loading infrastructure using Spark, SQL, AWS, and Databricks. Develop entity resolution systems, CI/CD pipelines, anomaly detection, and data quality processes. Design scalable processing systems, orchestration workflows, storage patterns, and data warehouse solutions. Collaborate remotely, document technical designs, scope projects, and solve complex data engineering and data science problems.

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.

Build and evolve scalable full-stack systems for People Data Labs’ APIs, self-serve products, and customer success tools. Responsibilities include designing frontend and backend architecture, developing React and Python applications, ensuring data integrity, implementing reliable APIs, optimizing performance, operating production services, collaborating with stakeholders, writing technical designs, mentoring engineers, and improving development practices.