Data Engineer - Snowflake ETL & Automation (Hybrid)

F&G; United States; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Fidelity & Guaranty Life Insurance Company (F&G) is seeking a Data Engineer to support data sourcing, transformation, ingestion, and analysis. You will develop ETL logic using Informatica IDMC, Control-M, and Snowflake to support current and future deployments.

The role involves building robust data products, automating workflows, and collaborating with teams to deliver scalable, maintainable data solutions across the organization.

Qualifications

• Bachelor's degree in technology, engineering, or math or combination of education and experience
• 2+ years of relevant professional experience
• Experience with data structures and ETL tools (Informatica, Informatica Data Management Cloud)
• Experience with SQL Server, Oracle, and/or Snowflake
• Experience writing SQL queries and interpreting data models
• Experience with database modeling
• Experience in financial services or insurance industry

Responsibilities

• Develop ETL logic and data workflows
• Leverage Control-M to automate data ingestion workflows
• Build robust data products within Snowflake
• Support data sourcing, transformation, and analysis
• Execute data management tasks including cleaning, processing, and visualizing data
• Collaborate with teammates to build scalable, reusable data solutions
• Work with SQL and other development tools
• Learn and adopt new tools and processes
• Contribute to architecture and solution implementation

Skills

Analytical thinking

SQL

Data analysis

Fast learner

Communication

Education

Bachelor's degree in technology/engineering/math

Tools

Informatica Data Management Cloud

Snowflake

Control-M

SQL Server

Oracle

Job description

Fidelity & Guaranty Life Insurance Company (F&G) is seeking a Data Engineer to support data sourcing, transformation, ingestion, and analysis. You will develop ETL logic using Informatica IDMC, Control-M, and Snowflake to support current and future deployments.

The role involves building robust data products, automating workflows, and collaborating with teams to deliver scalable, maintainable data solutions across the organization.