Senior Data Engineer

Who you are:

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. You’re 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?

If so, keep reading and apply today!

• 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.

• 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.

• 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.

• 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.

• 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

Let's get to know each other.

Polly has pioneered the next generation of mortgage capital markets technology with its cutting-edge, data-driven platform. Its enterprise-grade solutions, including the industry's only cloud-native, commercially scalable product, pricing, and eligibility (PPE) engine and first-of-its-kind Polly/™ AI platform, empower the nation's top banks, credit unions, and mortgage lenders to increase profitability, automate workflows, and revolutionize the loan officer and broker experiences. As a mortgage technology trailblazer, Polly is committed to driving meaningful value and ROI through best-in-class innovation that enables unlimited configurability, flexibility, granularity, and scalability. Polly was founded by a seasoned team of mortgage capital markets and technology experts and is headquartered in San Francisco, California. Recognized as a pioneer in mortgage capital markets, as well as in culture and career development, Polly was named to Forbes' America's Best Startup Employers in 2025. This evaluation was based on three key criteria: Employer Reputation, Employee Satisfaction, and Company Growth.

To learn more, follow Polly on LinkedIn or visit www.polly.io. 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 for employment 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 [email protected]. We care deeply about this network and your experience.