> Markdown version of [/jobs/ext/4707219-python-engineer-manager-actuarial](https://www.wearedevelopers.com/jobs/ext/4707219-python-engineer-manager-actuarial). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Engineer Manager (Actuarial) - **Company:** Jonus Group - **Location:** Wayne, NJ, United States (Remote available) - **Experience:** Experienced - **Salary:** $99,000 - $160,000 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Python (Programming Language), Power BI, SAS (Software), Tableau (Software), Google Cloud, Test-Driven Development (TDD), Data Ingestion, System Availability, Fastapi, Data Analytics - **Published:** November 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2066c00bc84ac6ee ## About the Role * 5+ years of solution engineering, data engineering, or data analytics experience * 3+ years of hands on Python development * Previous experience leading and mentoring technical teams * Experience with AWS, Azure, Google Cloud, or similar cloud platforms * Strong knowledge of data ingestion, manipulation, and engineering practices * Experience supporting actuarial, insurance, research, or advanced analytics teams * Familiarity with P&C insurance data and actuarial concepts * Power BI or Tableau experience preferred * Amazon SageMaker, SAS, and test driven development experience are additional pluses ## Description * Lead and mentor a team of engineers supporting actuarial and pricing functions * Build scalable Python applications and automated actuarial solutions * Develop portfolio rerating capabilities and tools supporting pricing analysis * Partner with actuaries to improve data availability, quality, and usability * Design and optimize cloud based data pipelines and workflows * Drive automation and advanced analytics across actuarial processes * Establish strong data governance, controls, and documentation * Partner across Actuarial, Data Engineering, and Technology teams to deliver large scale initiatives