Emerge Professional
We are partnered with a global leader in cloud-based software for the insurance industry and has been at the forefront of innovation for over 40 years. Its solutions power the business of insurance by automating the lifecycle and helping millions protect what matters most. With a strong commitment to its people, culture, and customers, our client fosters an inclusive, modern workplace that values excellence and continuous improvement.
Our client is looking for a Senior Staff Data Engineer to join their team. This position requires strong data engineering skills along with in-depth knowledge of insurance domains. You'll focus on developing scalable data pipelines, modeling complex insurance datasets, and supporting data classification, governance, and cataloging for critical systems. Collaborating closely with architecture, product, and engineering teams, you'll help deliver data-driven solutions that support insurance workflows-ensuring the data remains clean, traceable, and optimized for both analytical and operational use.
REWARDS
Base comp range: $180,000-$200,000 Annual bonus Full comprehensive benefits (medical, dental, vision) Fully remote opportunity PTO and 401K with company match REQUIREMENTS
7+ years in data engineering, data architecture, or enterprise data systems roles Domain expertise in insurance - ideally with experience across policy, claims, or underwriting datasets Hands-on experience designing data models and schemas for complex insurance data structures Proficient in SQL and Python for data engineering and automation Advanced experience with GCP data stack: BigQuery, Dataflow, Pub/Sub, Cloud Storage Experience building and managing data classification systems and metadata catalogs to support governance, discovery, and lineage Experience orchestrating ETL/ELT workflows and managing CI/CD pipelines using tools such as Terraform, Helm, Git, and Dataflow templates RESPONSIBILITIES
Lead the design and implementation of data classification systems, catalogs, and schema definitions across a range of P&C datasets (policy, claims, billing, eDocs, quote/bind, submissions) Architect and maintain scalable, reliable data pipelines using technologies such as BigQuery, Cloud Storage, Kubernetes, Pub/Sub, and Dataflow Support the definition and enforcement of data modeling standards, metadata management, and insurance-specific schema design Drive best practices for data lineage, quality, security, and governance across our insurance ecosystem Partner closely with engineering, product, and domain experts to ensure data systems align with real-world insurance workflows, are usable and trusted by stakeholders, and meet strategic business objectives Collaborate with internal teams on integration with ACORD data standards and canonical insurance models Own delivery of ETL/ELT pipelines, participate in platform-level architectural design, and mentor teammates on cloud-native data infrastructure
Emerge is committed to being an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other protected characteristic. In compliance with the Job Application Fairness Act, we ensure a fair and equitable recruitment process and provide necessary and reasonable accommodations. We value diversity and encourage individuals from all backgrounds and experiences to apply.
Our client is looking for a Senior Staff Data Engineer to join their team. This position requires strong data engineering skills along with in-depth knowledge of insurance domains. You'll focus on developing scalable data pipelines, modeling complex insurance datasets, and supporting data classification, governance, and cataloging for critical systems. Collaborating closely with architecture, product, and engineering teams, you'll help deliver data-driven solutions that support insurance workflows-ensuring the data remains clean, traceable, and optimized for both analytical and operational use.
REWARDS
Base comp range: $180,000-$200,000 Annual bonus Full comprehensive benefits (medical, dental, vision) Fully remote opportunity PTO and 401K with company match REQUIREMENTS
7+ years in data engineering, data architecture, or enterprise data systems roles Domain expertise in insurance - ideally with experience across policy, claims, or underwriting datasets Hands-on experience designing data models and schemas for complex insurance data structures Proficient in SQL and Python for data engineering and automation Advanced experience with GCP data stack: BigQuery, Dataflow, Pub/Sub, Cloud Storage Experience building and managing data classification systems and metadata catalogs to support governance, discovery, and lineage Experience orchestrating ETL/ELT workflows and managing CI/CD pipelines using tools such as Terraform, Helm, Git, and Dataflow templates RESPONSIBILITIES
Lead the design and implementation of data classification systems, catalogs, and schema definitions across a range of P&C datasets (policy, claims, billing, eDocs, quote/bind, submissions) Architect and maintain scalable, reliable data pipelines using technologies such as BigQuery, Cloud Storage, Kubernetes, Pub/Sub, and Dataflow Support the definition and enforcement of data modeling standards, metadata management, and insurance-specific schema design Drive best practices for data lineage, quality, security, and governance across our insurance ecosystem Partner closely with engineering, product, and domain experts to ensure data systems align with real-world insurance workflows, are usable and trusted by stakeholders, and meet strategic business objectives Collaborate with internal teams on integration with ACORD data standards and canonical insurance models Own delivery of ETL/ELT pipelines, participate in platform-level architectural design, and mentor teammates on cloud-native data infrastructure
Emerge is committed to being an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other protected characteristic. In compliance with the Job Application Fairness Act, we ensure a fair and equitable recruitment process and provide necessary and reasonable accommodations. We value diversity and encourage individuals from all backgrounds and experiences to apply.