Youre 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
If so keep reading and apply today!
What youll 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 doesnt just workthey contribute to our overarching mission. Individual impact is highly visible and everyones 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 Pollys flexible non-accrued vacation policybecause 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 Pollys Data Science Lead
Assessment - Live Assessment
Post Assessment Rounds 3- 30 to 45 minute Peer Cross Functional Team Members and Executive Rounds
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. We care deeply about this network and your experience.
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