Senior Data Engineer

What you’ll do:

• Design, build, and maintain reliable data pipelines to support internal analytics and customer-facing product features.
• Architect, develop, and maintain robust data infrastructure using structured (Postgres) and non-structured databases (MongoDB)
• Write, optimize, and maintain extensive SQL queries and scripts to support complex data retrieval and analysis.
• Design, develop, and manage ETL processes using APIs to integrate various data sources seamlessly into our analytics environment.
• Perform database optimization, performance tuning, and capacity planning to ensure maximum efficiency and reliability.
• Own data integrations across systems and ensure data is clean, validated, and well-modeled.
• Collaborate closely with data scientists, analysts, and software engineers to ensure the right data is available in the right format at the right time.
• Leverage modern data tools and cloud infrastructure to build scalable solutions that meet business and technical requirements.
• Troubleshoot data issues and continuously improve pipeline performance and observability.

What you have:

• Advanced proficiency in Python and SQL in a production environment, including query optimization and schema design.
• Proven experience working programmatically with structured (Postgres) and unstructured (MongoDB) databases.
• Strong background in database performance optimization and capacity planning.
• Demonstrated expertise in developing and maintaining ETLs using APIs and automation frameworks.
• Experience with cloud platforms such as AWS (especially services like Redshift, or S3).
• Solid understanding of data modeling and best practices for data integrity and security.
• Deep expertise with Spark.
• Working knowledge of Terraform, Kubernetes, and CI/CD workflows.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and translate technical concepts to non-technical audiences.
• Experience with orchestration tools like Prefect or Airflow.
• Exposure to modern data workflows, notebooks, and warehouse modeling.
• Ensure data quality and integrity through proactive monitoring, testing, and validation processes.

Why join Polly?

• High Bar of Talent: Polly consistently performs in the top quartile of start-up companies, and we consider the people of Polly the engine helping us achieve success. Many candidates choose Polly because of the collaborative, smart, and fun people that work here. We strive to hire the best to continue to raise that bar, and <5% of those that enter the interview process are presented with an offer.
• Disruptive Mission: Mortgage capital markets is historically an under-innovated space; Polly is committed to changing that. Our purpose-built platform has reimagined and reinvented the way that our lender customers operate. We are seeking passionate and driven builders who are not interested in accepting the status quo.
• Individual Impact & Growth: Every day, the Polly team doesn’t just work—they contribute to our overarching mission. Individual impact is highly visible and everyone’s voice matters. You will have exposure to every level of leadership, cross-functional teams, and impactful projects, giving you a unique opportunity to build and hone your skills.
• Hybrid Workplace with Innovation at the Core: Here at Polly, we believe in blending flexibility with in-person collaboration. With a hybrid model, our employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco (remote available for this role, hybrid strongly preferred), driving forward-thinking solutions and fostering teamwork.

Employee Benefits:

• Competitive Compensation: Polly offers competitive salaries designed to reward your expertise and direct impact/contributions.
• Comprehensive Health Coverage: Employees enjoy 100% company-paid medical, vision, dental, disability, and life insurance, granting peace of mind. 
• Flexible Vacation, Done Right: Take time off to recharge when you need it with Polly’s flexible, non-accrued vacation policy—because we trust you to balance work and life.
• Hybrid Environment: Polly employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco.

Interview Process

• Recruiting Screen - 30 minute 1:1 with a Polly Talent Team Member
• Initial Team Round - 30 minute 1:1 with Polly’s Data Science Lead
• Assessment - Live Assessment
• Post Assessment Rounds [3]- 30 to 45 minute Peer, Cross Functional Team Members, and Executive Rounds