Staff Data Engineer - Insurance Data (Remote - US)

Jobgether; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in talent matching is seeking a Staff Data Engineer focused on insurance data. This role involves designing scalable data solutions, mentoring engineers, and ensuring data integrity and compliance. Ideal candidates will have extensive experience in data engineering, particularly in insurance contexts, and strong leadership skills.

Benefits

Competitive salary and equity

Health insurance

401(k)

Flexible PTO

Parental leave

Remote work reimbursement

Professional development support

Qualifications

• 8+ years in data engineering with expertise in SQL, Python, and cloud environments.
• Deep understanding of data architecture and pipeline orchestration.
• Experience with insurance or financial data.

Responsibilities

• Design and develop end-to-end data solutions within a modern lakehouse architecture.
• Lead data modeling for insurance data: claims, policies, pricing.
• Collaborate with cross-functional teams on data projects.

Skills

SQL

Python

Data Integrity

Data Modeling

Leadership

Communication

Tools

Databricks

Airflow

Job description

About Jobgether

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

One of our partner companies is currently looking for a Staff Data Engineer – Insurance Data in the United States.

We are seeking a Staff Data Engineer to lead the development of robust data lakehouse solutions focused on insurance data. Responsibilities include designing scalable data pipelines, collaborating with cross-functional teams, and guiding other engineers on data integrity, modeling, and compliance. This role is crucial for transforming complex insurance data into insights that support reporting, decision-making, and compliance. If you thrive in technical environments and enjoy integrating business context with data architecture, this role 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 teams on data projects.
• Ensure data integrity, governance, and compliance with regulations like GDPR, CCPA, GLBA.
• Mentor data engineers, review code and architecture, and promote documentation.
• Implement metadata catalogs, access controls, and audit processes to secure data pipelines.

Qualifications include:

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

Note on location:

• Roles for Sales and Customer Service Agents can be based in 30 specific states.
• Other positions can be based in any of 40 states listed, with the ability to work full-time in those states.
• Location specifics may change as hiring needs evolve.

Benefits include competitive salary and equity, health insurance, 401(k), flexible PTO, parental leave, remote work reimbursement, insurance options, and professional development support.

Jobgether Hiring Process Disclaimer

This role is posted on behalf of our partner company. Applications undergo a 3-step AI-powered screening process to select the top 5 candidates, based on CV and LinkedIn analysis, with potential manual review.

Only the most relevant candidates will advance. If you are among the top 5, you will be notified within 7 days. If not, your profile may be considered for other opportunities.

Thank you for your interest!