Lead Data Engineer
LumosFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Polly offers a hybrid workplace with innovation at the core.
Required skills include strong proficiency in Python in a production environment, experience with cloud platforms such as AWS (especially Glue, Redshift, or S3), hands-on experience with ETL/ELT pipelines, familiarity with Spark, Hive or similar, and working knowledge of Terraform, Kubernetes, and CI/CD workflows.
Polly has a high bar of talent with collaborative, smart, and fun people; emphasizes individual impact where everyone's voice matters; and features a hybrid workplace with innovation at the core.
This information is not specified in the job description.
Strong candidates are hands-on data professionals with a few years of experience, who thrive in fast-moving environments, enjoy modern technologies, are collaborative and curious, and have the listed technical skills including Python, AWS, ETL/ELT, and orchestration tools.
Cloud-based platform for mortgage operations
Polly.io offers a platform designed to improve the mortgage industry by making operations more efficient for lenders. The platform is cloud-based, which means it uses internet technology to provide secure and scalable services. This allows lenders to access advanced tools for data analysis and machine learning, helping them to price loans and manage loan locks more accurately and quickly than traditional methods. Polly.io also features a Loan Trading Exchange that connects buyers and sellers of mortgage loans, making the process more transparent and efficient. By providing real-time analytics and market insights, Polly.io helps lenders make better decisions. The goal of Polly.io is to empower lenders of all sizes to enhance their productivity and profitability through its comprehensive suite of tools.