Senior Data Engineer, Openly
$140.8-211.2k
Plus Equity
More information about location
Home insurance platform
Be an early applicant
Home insurance platform
201-500 employees
Be an early applicant
$140.8-211.2k
Plus 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
- 4+ years of data engineering and data management experience, with a proven track record of delivering complex, production-grade data systems
- Strong proficiency in SQL and SQL optimization — including query tuning, indexing strategies, execution plan analysis, and data modeling in BigQuery and PostgreSQL
- Expert-level scripting and programming in Python; experience with Go is a strong plus
- Deep expertise with Google Cloud Platform (GCP), including BigQuery, GCS, Composer/Airflow, Cloud Functions, Cloud Run, Pub/Sub, and CloudSQL
- Proven experience building and operating event-driven and streaming data pipelines using Kafka or similar technologies (Aiven/Debezium experience a plus)
- Strong understanding of modern data warehouse and Lakehouse architectures, including multi-layered data modeling patterns (bronze/silver/gold or equivalent)
- Infrastructure as Code (IaC) experience with Terraform to define, manage, and version cloud data infrastructure
- Solid understanding of Software Development Lifecycle (SDLC) best practices: CI/CD pipelines, automated testing, code review processes, code repositories, and deployment management
- Experience with data replication tools (e.g., Fivetran, Debezium) and understanding of CDC (Change Data Capture) patterns
- Ability to independently drive data architecture decisions, translate business requirements into source-to-target data mappings, and deliver working, maintainable solutions
- Strong communication skills; able to effectively collaborate with and educate both technical and non-technical stakeholders
- Experience mentoring engineers and leading technical initiatives within a team environment
Desirable
- Hands-on experience with Apache Spark or other distributed data processing frameworks for large-scale batch and/or streaming workloads
- Familiarity with data observability and monitoring tools (e.g., DataDog, Monte Carlo, Great Expectations)
- Prior experience in a regulated industry such as insurance, finance, or healthcare
- Contributions to open-source data engineering projects or internal data platform tooling
- Experience with AI tools such as Claude, Copilot or equivalent
What the job involves
- We created Openly because we saw an evident gap in the market for premium insurance made simple. Consumers deserve more complete coverage at competitive prices
- The Price Difference: Using cutting-edge data and technology, we provide you with customizable, competitive prices to protect your most valuable assets
- The Policy Difference: Coverages are truly customizable to meet your individual protection needs, for both standard coverages and optional add-ons
- The Experience Difference: From tailored claims handling to highly responsive customer service, we are focused on making the home insurance purchasing process a better overall experience
- We are seeking a Senior Data Engineer to be a technical leader on our data engineering team
- This role involves designing and delivering robust, scalable data solutions for Openly's insurance platform
- You will apply deep expertise across the data lifecycle—from architecture and pipeline design to optimization and mentoring—to shape how we build, manage, and access data for our products and business intelligence
- Architect, build, and maintain high-quality, scalable data pipelines, data models, and data infrastructure across our GCP-based platform
- Lead technical design decisions related to data architecture, pipeline orchestration, data modeling, and cloud infrastructure
- Develop and optimize complex SQL queries and data transformations in BigQuery and PostgreSQL, ensuring performance, reliability, and correctness
- Write production-grade code in Python and/or Go to build and enhance data management frameworks, services, and pipeline tooling
- Partner with data science, business intelligence, product, and operations teams to translate business requirements into reliable data solutions
- Own and improve the full Software Development Lifecycle (SDLC) for data projects: design, development, testing, CI/CD deployment, monitoring, and maintenance
- Leverage streaming and event-driven architectures using Kafka (Aiven/Debezium) to build real-time data pipelines
- Utilize and optimize distributed data processing frameworks such as Apache Spark for large-scale data transformations
- Mentor and provide technical guidance to junior and mid-level data engineers; conduct code reviews and promote engineering best practices
- Share your knowledge within the data engineer team and the engineering organization through all-hands presentations, learning hours, domain meetings, and written documentation
- Our stack:
- Backend/Core: Go & Postgresql
- Frontend: Browser-based, VueJS, Vite, Webpack, Nuxt & Tailwind
- Research/Data Science: R, ArcGIS, Vertex, & Python
- Data: GCP GCS, BigQuery, 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 and for monitoring, PagerDuty for on-call, and CircleCI for running our CI/CD pipelines
- Remote work tools: Slack, Zoom
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 has even partnered with Mastercard to integrate Mastercard's RiskRecon cyber risk data into its platform so that organizations can better understand their risk profile. It now 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
- Remote-First Culture: With employees in 40 states and counting, we promoted #remotelife long before it was adopted by other companies
- WFH Setup: Day 1, you'll receive a new laptop, a $1,500 allowance to spend on setting up your home workplace, and a monthly internet stipend
- Real Work-Life Balance: Ensuring you can spend valuable time with friends and family is a priority. We offer flexible PTO and a generous parental leave policy
- 401k Company Contribution: We love working here, but who wants to work forever? Take advantage of our 401K plan and generous company contribution
- Health and Wellness: Your well-being comes first. We offer a variety of plans to suit your needs, ranging from the basics to supplemental coverages
Company HQ
Columbus, Boston, MA
Leadership
Ty Harris
(Co-Founder & 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
(Co-Founder & CTO)Began 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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