Data Engineer

AmeriLife; Vaughan; Remote; CAD 85,000 - 120,000; Full time

Job summary

AmeriLife is seeking a Data Engineer to develop and maintain data architectures, collaborate with teams, and enhance data quality. As a crucial part of the Information Technology function, this full-time role offers an exciting opportunity to work in a rapidly evolving insurance sector and support data-driven business decisions.

Qualifications

• Developing and maintaining data architectures and large-scale processing systems.
• Collaborating with data scientists to optimize data accessibility.
• Building scalable data pipelines and improving data quality.

Responsibilities

• Designing and building scalable data pipelines for data processing.
• Integrating raw data from various sources for machine readability.
• Conducting complex data analysis and reporting findings.

Skills

Python

SQL

Problem-solving

Analytical skills

Communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

SalesForce

Tableau

Job description

Join to apply for the Data Engineer role at AmeriLife.

Our Company
Explore how you can contribute at AmeriLife.

For over 50 years, AmeriLife has been a leader in the development, marketing, and distribution of annuity, life, and health insurance solutions for those planning for and living in retirement.

Associates find satisfaction in providing agents, marketers, and carrier partners the support needed to succeed in a rapidly evolving industry.

Job Summary
A Data Engineer is responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems. They work closely with data scientists and analysts to ensure data is accessible and optimized for performance.

Key Responsibilities

• Design and build scalable data pipelines for efficient data processing.
• Integrate raw data from various sources to create consistent, machine-readable formats.
• Implement methods to improve data reliability and quality.
• Conduct complex data analysis and report findings.
• Collaborate with stakeholders including data scientists, architects, and business teams to support data infrastructure needs.

Skills and Qualifications

• Proficiency in Python and SQL; experience with DBMS development; familiarity with SalesForce and Tableau is a plus.
• Strong analytical skills to analyze raw data and develop insights.
• Problem-solving abilities to identify and resolve data-related issues.
• Excellent communication skills for collaboration across teams.
• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degrees or certifications are a plus.

Additional Duties

• Assemble large, complex data sets to meet business requirements.
• Build infrastructure for ETL processes.
• Develop analytical tools for key business metrics.
• Support data-related technical issues and infrastructure needs.
• Manage end-to-end data flow.

Seniority Level

Not Applicable

Employment Type

Full-time

Job Function

Information Technology

Industries

Insurance

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