Staff Data Engineer

About us

The company is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, the company combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.

Opportunities to make an impact with bold thinking are real—and happening daily at the company.

About the role

As a Staff Data Engineer on the company’s Data team, you will define the architecture and technical direction of the enterprise Data & Analytics platform. You will build trusted, scalable data infrastructure for cyber security, insurance exposure analytics, BI, actuarial workflows, and AI/ML products. Your work will help the company make better risk decisions, deliver reliable data products, and scale its mission to Protect the Unprotected.

Responsibilities

• Set the architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure-as-code across the Data platform.

• Design governed Medallion pipelines and domain-oriented data models that make complex insurance and security data reliable, discoverable, and usable.

• Build reusable data products, contracts, feature stores, and semantic models that serve BI, actuarial, AI/ML, and operational consumers.

• Establish observability, quality, lineage, security, and incident-management practices that protect data reliability and support regulated workflows.

• Develop the platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented AI applications.

• Partner with engineering, product, underwriting, actuarial, security, and business teams to align architecture with customer and business outcomes.

Skills and Qualifications

• 9–12 years of experience building and operating production data platforms, with a track record of owning architecture for complex or high-scale systems.

• Deep expertise in Snowflake and dbt, including performance optimization, incremental processing, warehouse cost management, testing, and deployment practices.

• Strong programming and data modeling skills in Python and analytical SQL, with experience designing dimensional models and/or Data Vault 2.0 architectures.

• Experience building reliable batch and streaming pipelines with modern orchestration and ingestion technologies such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables.

• Experience establishing data products, data contracts, domain ownership, SLAs, access controls, lineage, and quality standards across multiple teams.

• Experience building feature engineering infrastructure or AI data systems, including feature stores, embeddings, vector search, or RAG pipelines.

• Production experience with Looker and LookML, including governed semantic models and centralized metrics for self-service analytics.

• A strong technical leadership mindset, with experience influencing architecture across teams, mentoring engineers, communicating tradeoffs, and creating durable engineering standards.

Bonus Points

• Experience modeling insurance domains such as underwriting, claims, reinsurance, policy exposure, loss runs, or loss triangles.

• Familiarity with Snowflake Cortex, Feast, DataHub, Atlan, OpenLineage, Elementary, dbt-expectations, or Evidently AI.

• Experience implementing RBAC hierarchies, row-level policies, column masking, PII tokenization, audit logging, or regulated-data controls.

• Experience managing Snowflake environments with Terraform and CI/CD tools such as GitHub Actions.

• Experience using AI-assisted development tools such as Cursor or GitHub Copilot to improve code quality, testing, and documentation.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $157,000/year in our lowest geographic market up to $232,650/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. The company reserves the right to modify this range as needed.

Perks

• 100% medical, dental, and vision coverage

• 401(k) retirement plan with competitive employer match

• Flexible PTO

• Up to 14 weeks of paid leave for birthing parents and 8 weeks of paid parental leave for non-birthing parents

• Annual home office stipend and WeWork access

• Mental & physical health wellness programs like One Medical, Headspace, Wellhub, and more!

• Competitive compensation and opportunity for advancement

Why the company?

Work at the company is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. The company’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.

We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.

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Anti-Discrimination Notice

The company is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. The company does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.

Accommodations

The company is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at [link for members] . We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.

To all recruitment agencies: the company does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. The company is not responsible for any fees related to unsolicited resumes.