Senior Staff Data Engineer

EMERGE; Evanston (IL); Remote; USD 180,000 - 200,000; Full time

Job summary

A leading company in cloud-based insurance software seeks a Senior Staff Data Engineer in Evanston, Illinois. The role requires expertise in data engineering and a strong understanding of insurance domains. Responsibilities include developing and maintaining data pipelines, supporting governance, and collaborating with diverse teams to ensure high-quality data for insurance processes. Ideal candidates will have significant experience and technical skills in SQL, Python, and GCP tools.

Benefits

Annual bonus

Comprehensive benefits (medical, dental, vision)

Fully remote opportunity

PTO and 401K with company match

Qualifications

• 7+ years in data engineering or data architecture roles.
• Strong domain expertise in insurance.
• Hands-on experience with complex datasets.

Responsibilities

• Lead design and implementation of data systems for P&C datasets.
• Architect and maintain scalable data pipelines.
• Enforce data modeling standards and manage quality.

Skills

Data modeling

Data classification

SQL

Python

ETL/ELT workflows

Cloud data stack (GCP)

Education

Bachelor's degree in a related field

Tools

BigQuery

Dataflow

Terraform

Kubernetes

Job description

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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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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