Senior Data Engineer, Polly

Salary not provided

SQL

MongoDB

AWS

Kubernetes

Python

Postgres

Airflow

Terraform

Redshift

Spark

Hive

Senior and Expert level

San Francisco Bay Area

More information about location

3 days a week in office

End-to-end capital markets ecosystem platform

Be an early applicant

End-to-end capital markets ecosystem platform

101-200 employees

FintechB2BEnterpriseBig dataLending

Be an early applicant

Salary not provided

SQL

MongoDB

AWS

Kubernetes

Python

Postgres

Airflow

Terraform

Redshift

Spark

Hive

Senior and Expert level

San Francisco Bay Area

More information about location

3 days a week in office

101-200 employees

FintechB2BEnterpriseBig dataLending

Company mission

To help capital markets and secondary teams operate faster, smarter, and more profitably with best-in-class technology configured for each customers' unique workflows and needs.

Job

Company

Role

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
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

What the job involves

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

Application 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

Our take

Many of the processes in the mortgage industry have remained unchanged for decades, and huge amounts of money are spent on tasks that have the potential to be automated. This is the gap that Polly fills, with its SaaS solution for mortgage lenders, that can automate mortgage loan pricing and sales, as well as offering data-driven analytical insights.

In an industry worth trillions of dollars, Polly has found its place in providing flexible and innovative time-saving solutions for repeatable mortgage capital market tasks. With product and pricing, loan trading, and analytics capabilities, the company offers its clients comprehensive control to modernize their workflows and has enjoyed rapid growth and an increasing customer count.

Funding raised by Polly is cited to go towards accelerating innovation - including by investing in AI and ML capabilities - as well as growing its ecosytem of partners, hiring talent, and delivering even better products for its customers.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

12% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 3 rounds)

Sep 2024

$25m

GROWTH EQUITY VC

Jan 2022

$37m

SERIES B

Total funding: $77m

Company benefits

Competitive salaries
100% paid medical/vision/dental/disability/life insurance
Unlimited PTO
Remote environment

Company HQ

Financial District, San Francisco, CA

Leadership

Adam Carmel

(CEO)

They worked as the VP of Provident Funding Associates for over 6 years before founding Ethos Lending in April 2019. After over 5 years, they left this CEO position to found Polly in April 2019.

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