Data Engineer

Role overview Design and maintain data pipelines and curated datasets that turn information from connected devices and software products into a reliable foundation for analysis. The data supports work such as statistical research, machine learning, and dashboards, including datasets used by customers. This is a remote role for candidates residing in the United States; relocation assistance is not offered.

Responsibilities - Build and operate dependable computed tables that combine structured and unstructured data, including device, product, customer, video, and audio information. - Integrate external datasets with internal sources. - Maintain high standards for data quality, availability, and reliability, including for customer-facing datasets. - Partner with data science, analytics, AI/ML, and data engineering colleagues to support varied analytical and modeling needs.

Requirements - A bachelor’s or master’s degree in computer science, statistics, or a related field. - At least four years of experience focused on data engineering. - Experience designing data models at scale and building ETL pipelines for large data volumes. - Experience with Spark-based data platforms. - Proficiency with SQL, Python, REST APIs, and at least one orchestration tool such as Airflow, Dagster, or Prefect.

Benefits and work setup The role is remote within the United States. The listing describes a flexible work model and mentions professional development support, health coverage, and parental leave.