Job description

About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition 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 Coalition. About the role As a Staff Data Engineer on Coalition’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 Coalition 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. Coalition, Inc. 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 Coalition? Work at Coalition 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. Coalition’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. Visit our Newsroom > Privacy Notice Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled. Our Privacy Policy > Safe Hiring Notice All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page . We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you’ve been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC). Anti-Discrimination Notice Coalition 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. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace. Accommodations Coalition 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 candidateaccommodations@coalitioninc.com . 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: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.

Requirements

Must-haves

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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonsqlci/cd

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness