Staff Data Engineer - Insurance Data (Remote - US)

Jobgether; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Staff Data Engineer specializing in Insurance Data. This role is perfect for those who excel in designing scalable data solutions within a modern lakehouse architecture. Collaborate with cross-functional teams to ensure data integrity and compliance while mentoring fellow engineers. Transform complex insurance data into actionable insights that drive enterprise decision-making. With a commitment to professional development and a flexible work environment, this position offers a unique opportunity to make a significant impact in the field of data engineering.

Benefits

Medical, dental, and vision insurance

401(k) with 4% company match

Flexible PTO

Paid parental leave

Home office setup reimbursement

Support for professional development

Qualifications

• 8+ years in data engineering with strong SQL and Python skills.
• Experience with insurance or financial services data.

Responsibilities

• Design and develop end-to-end data solutions within a modern lakehouse architecture.
• Lead data modeling for insurance data and ensure compliance with industry regulations.

Skills

SQL

Python

Data Architecture

Data Modeling

Data Integrity

Mentorship

Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Airflow

Job description

Staff Data Engineer - Insurance Data (Remote - US)

About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

About the Role
We are seeking a Staff Data Engineer - Insurance Data in the United States. This role involves leading the development of data lakehouse solutions focused on insurance data, designing scalable data pipelines, collaborating with cross-functional teams, and guiding other engineers on best practices for data integrity, modeling, and compliance. Your work will transform complex insurance data into insights that support enterprise reporting, decision-making, and compliance. If you thrive in technical environments and enjoy blending business context with data architecture, this position is ideal for you.

Accountabilities

• Design and develop end-to-end data solutions within a modern lakehouse architecture (Databricks)
• Lead data modeling for insurance data: claims, policies, pricing, risk, and renewals
• Collaborate with product, engineering, BI, and business stakeholders on data projects
• Ensure data integrity, governance, and compliance with industry regulations (GDPR, CCPA, GLBA)
• Mentor data engineers, review code and architecture, and promote documentation practices
• Implement and maintain metadata catalogs, access controls, and audit processes to secure data pipelines

Requirements

• 8+ years in data engineering with expertise in SQL, Python, and cloud-based lakehouse environments
• Deep understanding of data architecture, pipeline orchestration, and database design
• Experience working with insurance or financial services data and designing custom data models
• Ability to lead technical projects aligned with business objectives
• Strong communication and leadership skills, including mentorship and collaboration
• Experience with data quality, testing standards, and compliance in regulated industries
• Familiarity with tools like Databricks, Airflow, and modern data orchestration frameworks

Location Requirements

• Roles for Sales and Customer Service Agents: must be in one of these 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MN, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, WI
• Other roles: in any of these 40 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, WI. Applicants must be able to live and work full-time in one of these states.

Benefits

• Competitive salary and equity packages
• Medical, dental, and vision insurance
• 401(k) with 4% company match
• Flexible PTO and 8 company-observed holidays
• Paid parental leave: 14 weeks (birthing) / 8 weeks (non-birthing) at 100% salary
• Home office setup reimbursement and remote work options across 40 states
• Insurance options: life, disability, voluntary (accident, legal, pet, critical illness, etc.)
• Support for professional development and education

Hiring Process

This role is posted on behalf of our partner company. Applications undergo an AI-powered 3-step screening, analyzing your CV and LinkedIn profile to select the top 5 candidates. The process is fair and based solely on qualifications. Top candidates will be notified within 7 days. If not selected, your profile may still be considered for similar roles.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Non-profit Organizations, Education