Data Engineer, Openly
$108-162k
+ Equity
More information about location
Home insurance platform
Be an early applicant
Home insurance platform
201-500 employees
Be an early applicant
$108-162k
+ Equity
More information about location
201-500 employees
Company mission
To empower independent insurance agents to deliver a modern, efficient, and superior customer experience.
Role
Who you are
- 1 to 2 years of data engineering and data management experience
- Scripting skills in one or more of the following: Python
- Basic understanding and usage of a development and deployment lifecycle, automated code deployments (CI/CD), code repositories, and code management
- Experience with Google Cloud data store and data orchestration technologies and concepts
- Hands-on experience and understanding of the entire data pipeline architecture: Data replication tools, staging data, data transformation, data movement, and cloud based data platforms
- Understanding of a modern next generation data warehouse platform, such as the Lakehouse and multi-data layered warehouse
- Proficiency with SQL optimization and development
- Ability to understand data architecture and modeling as it relates to business goals and objectives
- Ability to gain an understanding of data requirements, translate them into source to target data mappings, and build a working solution
- Experience with terraform preferred but not required
What the job involves
- We’re hiring a Data Engineer II to be a part of our data engineering team to build and enhance data solutions for Openly's insurance data platform
- You will play a key role in how we build, manage, structure, store, and access data and data pipelines so we can provide high quality usable data to our insurance product and reporting data users
- Design, create, and maintain data solutions. This includes data pipelines and data structures
- Work with data users, data science, and business intelligence personnel, to create data solutions to be used in various projects
- Translating concepts to code to enhance our data management frameworks and services to strive towards providing a high quality data product to our data users
- Collaborate with our product, operations, and technology teams to develop and deploy new solutions related to data architecture and data pipelines to enable a best-in-class product for our data users
- Collaborating with teammates to derive design and solution decisions related to architecture, operations, deployment techniques, technologies, policies, processes, etc
- Participate in domain, stand ups, weekly 1:1's, team collaborations, and biweekly retros
- Assist in educating others on different aspects of data (e.g. data management best practices, data pipelining best practices, SQL tuning)
- Build and share your knowledge within the data engineer team and with others in the company (e.g. tech all-hands, tech learning hour, domain meetings, code sync meetings, etc.)
- Backend/Core: Go & Postgresql
- Frontend: Browser-based, VueJS, Webpack, Nuxt &, Tailwind
- Research/Data Science: R, ArcGIS, GCP Vertex A, Hex, & Python
- Data: GCP GCS, BigQuery, Dataform, Composer/Airflow, Cloud Functions, Postgres, SQL, Python, Aiven Debezium and Kafka, Fivetran
- Infrastructure: Google Cloud, specifically Cloud Run, Kubernetes, Pub/Sub, BigQuery, and CloudSQL, managed with Terraform. We use GitHub for code hosting, DataDog for monitoring, and CircleCI for running our CI/CD pipelines
- Remote work tools: Slack, Zoom, Donut
Our take
Openly has responded to a perceived gap in the market: while consumers are increasingly buying home insurance through independent agents, the products those agents can offer have not kept up with what’s possible, resulting in wasted time, wasted money, and outdated risk underwriting.
Openly's homeowner insurance platform sells exclusively through independent agencies. The platform watches and updates more than 19,000 vendor profiles daily across 19 states and 91 different industries, detecting changes to key business information, privacy documentation, terms of service agreements and public records. This increases transparency of the risk between buyers and suppliers, which sets Openly apart from its competitors in the insurtech market.
It has grown in-force premium by more than 500% year over year and has already achieved double-digit new sales market share in the majority of its states. The company is taking huge steps and recently partnered with Mastercard to integrate Mastercard's RiskRecon cyber risk data into its platform so that organizations can better understand their risk profile. Openly has plans to expand its home insurance product to more states and agencies and to enhance its technology and insurance product.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
22% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jan 2025
$123m
GROWTH EQUITY VC
Sep 2023
$100m
SERIES D
Total funding: $360.7m
Company benefits
- Company equity
- Work from home stipend
- 401k plan
- Vision and dental insurance
- Remote-First
- Health insurance
- Flexible PTO
- Parental leave policy
Company HQ
Columbus, Boston, MA
Leadership
Ty Harris
(CEO)Studied at MIT before working as a Lecturer at MIT and Northeastern. Went on to spend 12 years at Liberty Mutual Insurance. Co-founded Quote Hopper in June 2017 and, after passing this onto an agency to run, co-founded Openly that August.
Matt Wielbut
(CTO)Started their career with almost 8 years at Goldman Sachs before co-founding Recitate and Elements Insurance. Used this experience to co-found Openly with Ty.
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