Data Modeler/Engineer
Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance.
Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make.
Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance.
Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make.
About The Opportunity
As a Data Architect at Pie, you will be an integral part of an agile team responsible for the design, construction, and maintenance of the company's data warehouse. You will collaborate with both technical and business staff to understand data requirements, develop data architecture solutions, and enforce data governance policies to ensure efficient, secure, and easily accessible data for stakeholders. This critical role supports strategic company-level objectives and plays a key part in defining the future state of Pie's data architecture by designing data pipelines and implementing data governance.
Success in this position will be establishing how data comes into and flows through the Pie insurance platform. This data will be used to help our organization quote customers based on best policy and prices for their workers compensation insurance.
How You’ll Do It
- Design and implement data architecture solutions, including data modeling, data integration, and data management.
- Design efficient data pipelines to transform raw data sources into powerful, reliable components ensuring data quality, efficient processing, and timely delivery of accurate and trusted data.
- Design data models for optimal storage and retrieval, to meet critical business requirements
- Work with stakeholders including the Executive, Product, and Engineering teams to assist with data-related technical issues and support their data infrastructure needs
- Maintain high standards of engineering excellence through code reviews, unit tests, and robust alerting
- Identify and work with our analytics engineers, analysts and scientists to ensure we have optimal, documented and adequately tested dimensional data models
- Defining and enforcing data governance policies
- Developing and maintaining data dictionaries and data lineage
The Right Stuff
- 2+ years experience as a data architect
- Demonstrable experience designing and implementing modern data warehouse/data lake solutions with an understanding of best practices
- Previous work experience in a cloud-based environment
- Advanced proficiency in writing complex SQL statements and manipulating large structured and semi-structured datasets.
- Strong demonstrated knowledge with industry standard ETL/ELT and data orchestration tools such as Airflow, Stitch, or Fivetran
- Experience modeling data in a data warehouses such as Snowflake, Redshift, and or BigQuery
- Strong analytical and problem-solving skills
- Working knowledge of visualization tools such as Looker or Tableau
- Knowledge of data governance best practices
#LI-MS1
Base Compensation Range
$125,000—$170,000 USD
- Competitive cash compensation
- A piece of the pie (in the form of equity)
- Comprehensive health plans
- Generous PTO
- Future focused 401k match
- Generous parental and caregiver leave
- Our core values are more than just a poster on the wall; they’re tangibly reflected in our work
Our goal is to make all aspects of working with us as easy as pie. That includes our offer process. When we’ve identified a talented individual who we’d like to be a Pie-oneer , we work hard to present an equitable and fair offer. We look at the candidate’s knowledge, skills, and experience, along with their compensation expectations and align that with our company equity processes to determine our offer ranges.
Each year Pie reviews company performance and may grant discretionary bonuses to eligible team members.
Location Information
Unless otherwise specified, this role has the option to be hybrid or remote. Hybrid work locations provide team members with the flexibility of working partially from our Denver or DC office and from home. Remote team members must live and work in the United States* (*territories excluded), and have access to reliable, high-speed internet.
Additional Information
Pie Insurance is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic.
Pie Insurance participates in the E-Verify program. Please click here, here and here for more information.
Pie Insurance is committed to protecting your personal data. Please review our Privacy Policy.
Pie Insurance Announces $315 Million Series D Round of Funding
Built In honors Pie in its 2023 Best Places to Work Awards
Pie Insurance Named a Leading Place to Work in Colorado
Check out our great reviews from current and former employees on Glassdoor
#LI-REMOTE
#BI-REMOTE
