Role Summary

HIGHLIGHTS

Senior actuarial data engineer/cloud architect supporting life actuarial and finance functions. You will design and build AWS-native data pipelines, ETL/ELT processes, and automation to support actuarial modeling and financial reporting. Fully remote US role requiring strong Python, SQL, PySpark, and Terraform skills. Senior individual-contributor level with 7+ years experience.

JOB DESCRIPTION SUMMARY

Design and build AWS-native actuarial data platform (Glue, Redshift, Lambda, S3)
Develop ETL/ELT pipelines, data models, APIs using Python, SQL, and PySpark
Automate data ingestion, validation, and AI-driven tooling for forecasting
Fully remote senior individual-contributor role, 7+ years experience
Integrate with CI/CD and infra using Terraform, CodeBuild, GitHub, Docker

DOMAIN EXPERTISE

Cloud data engineering in AWS (Glue, Redshift, Lambda, Step Functions)
Python and SQL ETL pipeline development with PySpark experience
Data warehousing, dimensional modeling, and performance tuning
Terraform, Docker, and CI/CD integration (CodeBuild, GitHub)
Experience with financial or actuarial data systems (AXIS, Prophet)

KEY REQUIREMENTS

7+ years of data engineering, architecture, or analytics experience
Expert-level AWS experience (S3, Redshift, Glue, Lambda, Step Functions)
Proficiency in Python and SQL; experience with PySpark and ETL design
Hands-on Terraform, Docker, and CI/CD (CodeBuild, GitHub) experience
Experience in financial or actuarial data environments preferred

TECH STACK

Redshift
Git_GitHub
Jupyter_Notebook
Terraform
Docker
CodeBuild

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Design and build AWS-native actuarial data platform (Glue, Redshift, Lambda, S3)
Develop ETL/ELT pipelines, data models, APIs using Python, SQL, and PySpark
Automate data ingestion, validation, and AI-driven tooling for forecasting
Fully remote senior individual-contributor role, 7+ years experience
Integrate with CI/CD and infra using Terraform, CodeBuild, GitHub, Docker