Job Detail

About Job

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.

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

We’re seeking a Staff Data Engineer to lead the development and optimization of robust data lakehouse solutions focused on insurance data. In this role, you’ll design and implement scalable data pipelines, work closely with cross-functional teams, and guide other engineers in best practices for data integrity, modeling, and compliance. You’ll play a critical role in transforming complex insurance-related data into clean, actionable insights that power enterprise reporting, decision-making, and compliance. If you thrive in highly technical environments and enjoy combining business context with data architecture, this role is for you.

Accountabilities:

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

Requirements

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

For Sales Agents and Customer Service Agents: These roles sit in any of the following 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, and WI.
For all other positions, these roles can sit in any of the following 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, and WI. Please only apply if you are able to live and work full-time in one of the states listed above.
State locations and specifics are subject to change as our hiring requirements shift.

Benefits

Competitive salary and equity packages
Medical, dental, and vision insurance
401(k) with 4% company match
Flexible PTO plus 8 company-observed holidays
Paid parental leave: 14 weeks (birthing) / 8 weeks (non-birthing) at 100% salary
Home office setup reimbursement and remote flexibility across 40 U.S. states
Life, disability, and voluntary insurance options (accident, legal, pet, critical illness, etc.)
Professional development and continuing education support

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

#LI-CL1

Requirements

python

Additional Instructions

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.

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

We’re seeking a Staff Data Engineer to lead the development and optimization of robust data lakehouse solutions focused on insurance data. In this role, you’ll design and implement scalable data pipelines, work closely with cross-functional teams, and guide other engineers in best practices for data integrity, modeling, and compliance. You’ll play a critical role in transforming complex insurance-related data into clean, actionable insights that power enterprise reporting, decision-making, and compliance. If you thrive in highly technical environments and enjoy combining business context with data architecture, this role is for you.

Accountabilities:

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

Requirements

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

For Sales Agents and Customer Service Agents: These roles sit in any of the following 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, and WI.
For all other positions, these roles can sit in any of the following 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, and WI. Please only apply if you are able to live and work full-time in one of the states listed above.
State locations and specifics are subject to change as our hiring requirements shift.

Benefits

Competitive salary and equity packages
Medical, dental, and vision insurance
401(k) with 4% company match
Flexible PTO plus 8 company-observed holidays
Paid parental leave: 14 weeks (birthing) / 8 weeks (non-birthing) at 100% salary
Home office setup reimbursement and remote flexibility across 40 U.S. states
Life, disability, and voluntary insurance options (accident, legal, pet, critical illness, etc.)
Professional development and continuing education support

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

#LI-CL1

Staff Data Engineer - Insurance Data (Remote - US)

Desired Skills

About Job

Requirements

Additional Instructions

Perks and Benefits

Details