As a Senior Staff Data Engineer, you'll lead data classification, build data pipelines, enforce modeling standards, and collaborate on stakeholder solutions for the P&C insurance sector.
Job Overview
Make a Difference at Ivans
Digital connectivity is the lifeblood of innovation. At Ivans, a division of Applied, we are at the heart of what is driving innovation across the entire insurance ecosystem. This is just one of the things that makes Ivans such a cool place to work. Making a difference - for the industry and within our team - is what pushes us to do better each day.
Our culture is about more than developing the best technology. It's about being innovative, investing in our team, creating a customer-centric environment, and setting the industry up for the future.
Position Overview
We're searching for a Senior Staff Data Engineer to remotely join our IVANS team. This role combines deep data engineering expertise with domain fluency in Property & Casualty (P&C) insurance - with a focus on building scalable pipelines, modeling complex insurance datasets, and enabling data classification, governance, and cataloging for high-stakes systems. You'll work closely with our architecture, product, and engineering teams to deliver solutions that power insurance workflows , while ensuring data is clean, traceable, and structured for analytical and operational use.
What You'll Do
We're Excited to Learn More About You
Your experience may include:
You may have other skills or credentials, including:
We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!
When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/
Your Security Matters:
Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
#LI-Remote
Make a Difference at Ivans
Digital connectivity is the lifeblood of innovation. At Ivans, a division of Applied, we are at the heart of what is driving innovation across the entire insurance ecosystem. This is just one of the things that makes Ivans such a cool place to work. Making a difference - for the industry and within our team - is what pushes us to do better each day.
Our culture is about more than developing the best technology. It's about being innovative, investing in our team, creating a customer-centric environment, and setting the industry up for the future.
Position Overview
We're searching for a Senior Staff Data Engineer to remotely join our IVANS team. This role combines deep data engineering expertise with domain fluency in Property & Casualty (P&C) insurance - with a focus on building scalable pipelines, modeling complex insurance datasets, and enabling data classification, governance, and cataloging for high-stakes systems. You'll work closely with our architecture, product, and engineering teams to deliver solutions that power insurance workflows , while ensuring data is clean, traceable, and structured for analytical and operational use.
What You'll Do
- 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
We're Excited to Learn More About You
Your experience may include:
- 7+ years in data engineering, data architecture, or enterprise data systems roles
- Domain expertise in Property & Casualty (P&C) 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
You may have other skills or credentials, including:
- Familiarity with ACORD data standards and how they map to real-world insurance use cases
- Prior experience working in insurance technology platforms, insurtechs, or large P&C carriers
- Experience supporting data governance, regulatory compliance, or ISO/NAIC reporting
We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!
When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- A Bonus Day for Your Birthday
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/
Your Security Matters:
Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
#LI-Remote
Top Skills
BigQuery
Cloud Storage
Dataflow
Git
Helm
Kubernetes
Pub/Sub
Python
SQL
Terraform
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