AWS Data Engineer

Job Description

Key Responsibilities:
Design and implement data transformation workflows and recipes in Amazon SageMaker using Redshift datasets.
Collaborate with actuaries to understand data requirements for actuarial models and reporting.
Develop reusable templates and pipelines in SageMaker Studio or Data Wrangler for common actuarial data preparation tasks.
Mentor and train business users on using SageMaker tools for self-service data preparation and exploration.
Ensure data quality, consistency, and lineage across transformation workflows.
Optimize performance of data pipelines for large-scale actuarial datasets.
Document workflows, best practices, and user guides for internal stakeholders.
Participate in sprint planning, demos, and retrospectives as part of the scrum team.

Required Qualifications:
Bachelor's or master's degree in computer science, Data Science, Actuarial Science, or related field.
3+ years of experience working with AWS SageMaker, including SageMaker Studio, Data Wrangler, or Pipelines.
Strong experience with Amazon Redshift and SQL-based data transformation.
Proficiency in Python for data manipulation, automation, and scripting.
Experience working with large-scale datasets in a cloud environment.
Ability to explain technical concepts to non-technical users and support user enablement.
Familiarity with Agile/Scrum methodologies.

Preferred Qualifications:
Experience in the insurance or actuarial domain, especially with claims, premiums, reserves, or forecast data.
Knowledge of AWS Glue, Athena, or other AWS analytics services.
Exposure to MLOps practices and integration with CI/CD pipelines.
Experience with data governance, metadata management, and compliance in regulated environments

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.