Polly
Overview
You're a hands-on Senior Data Engineer with strong Python skills and experience building robust data pipelines in cloud environments. You enjoy solving complex data problems, working cross-functionally, and building the infrastructure that powers analytics and product development. Youre ready to take the next step in your career at a company where your work will directly impact the business and customer experience. Does this sound like you? Responsibilities 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.
Qualifications
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 Glue, Redshift, or S3). Solid understanding of data modeling and best practices for data integrity and security. Familiarity with Spark, Hive, Databricks, or similar big data tools. 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 startup companies, and we consider the people of Polly the engine helping us achieve success. We strive to hire the best to continue to raise that bar; fewer than 5% of those who enter the interview process receive an offer. Disruptive Mission: Mortgage capital markets is historically an under-innovated space; Polly is committed to changing that. Our platform reimagines how lenders operate, and were seeking passionate builders who wont accept the status quo. Individual Impact & Growth: Every day, Polly is about making meaningful impact. Your work is visible to leadership and cross-functional teams, giving you opportunities to build and hone your skills. Hybrid Workplace with Innovation at the Core: We blend flexibility with in-person collaboration. The hybrid model has you on site three days a week (Tues/Wed/Thurs) at our Innovation Hubs in Dallas-Fort Worth and San Francisco. Remote work is available for this role; hybrid is strongly preferred.
Employee Benefits
Competitive Compensation: Polly offers salaries designed to reward your expertise and impact. Comprehensive Health Coverage: 100% company-paid medical, vision, dental, disability, and life insurance. Flexible Vacation, Done Right: Flexible, non-accrued vacation policy to support work-life balance. Hybrid Environment: On-site three days a week at our Innovation Hubs 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 Pollys Data Science Lead Assessment Live Assessment Post Assessment Rounds three rounds (3045 minutes each) with peers, cross-functional team members, and executives
Polly has pioneered the next generation of mortgage capital markets technology with its data-driven platform. Its solutions empower the nations top banks, credit unions, and mortgage lenders to increase profitability, automate workflows, and revolutionize the loan officer and broker experiences. Polly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, age, color, national origin, religion, sex, gender identity, sexual orientation, marital status, pregnancy status, disability status, veteran status, or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Beware of recruitment scams impersonating the Polly brand or our employees. Our team communicates only through official Polly channels, and we will never ask for sensitive information over text or conduct text-only interviews. If you are ever suspicious or in doubt, reach out to us directly at peopleteam@polly.io. #J-18808-Ljbffr
You're a hands-on Senior Data Engineer with strong Python skills and experience building robust data pipelines in cloud environments. You enjoy solving complex data problems, working cross-functionally, and building the infrastructure that powers analytics and product development. Youre ready to take the next step in your career at a company where your work will directly impact the business and customer experience. Does this sound like you? Responsibilities 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.
Qualifications
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 Glue, Redshift, or S3). Solid understanding of data modeling and best practices for data integrity and security. Familiarity with Spark, Hive, Databricks, or similar big data tools. 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 startup companies, and we consider the people of Polly the engine helping us achieve success. We strive to hire the best to continue to raise that bar; fewer than 5% of those who enter the interview process receive an offer. Disruptive Mission: Mortgage capital markets is historically an under-innovated space; Polly is committed to changing that. Our platform reimagines how lenders operate, and were seeking passionate builders who wont accept the status quo. Individual Impact & Growth: Every day, Polly is about making meaningful impact. Your work is visible to leadership and cross-functional teams, giving you opportunities to build and hone your skills. Hybrid Workplace with Innovation at the Core: We blend flexibility with in-person collaboration. The hybrid model has you on site three days a week (Tues/Wed/Thurs) at our Innovation Hubs in Dallas-Fort Worth and San Francisco. Remote work is available for this role; hybrid is strongly preferred.
Employee Benefits
Competitive Compensation: Polly offers salaries designed to reward your expertise and impact. Comprehensive Health Coverage: 100% company-paid medical, vision, dental, disability, and life insurance. Flexible Vacation, Done Right: Flexible, non-accrued vacation policy to support work-life balance. Hybrid Environment: On-site three days a week at our Innovation Hubs 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 Pollys Data Science Lead Assessment Live Assessment Post Assessment Rounds three rounds (3045 minutes each) with peers, cross-functional team members, and executives
Polly has pioneered the next generation of mortgage capital markets technology with its data-driven platform. Its solutions empower the nations top banks, credit unions, and mortgage lenders to increase profitability, automate workflows, and revolutionize the loan officer and broker experiences. Polly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, age, color, national origin, religion, sex, gender identity, sexual orientation, marital status, pregnancy status, disability status, veteran status, or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Beware of recruitment scams impersonating the Polly brand or our employees. Our team communicates only through official Polly channels, and we will never ask for sensitive information over text or conduct text-only interviews. If you are ever suspicious or in doubt, reach out to us directly at peopleteam@polly.io. #J-18808-Ljbffr