Data Engineer

Job Summary
The Data Engineer will support the sourcing, transformation, ingestion, and analysis of data and develop ETL logic utilizing Informatica (IDMC), Control-M, and Snowflake to support existing and future deployments.
Duties & Responsibilities
Leverage Control-M to develop automated workflows that triggers processes, moves files, and ingests data in conjunction with other tools
Develop robust data products and processes within Snowflake
Support the sourcing, transformation, and analysis of data
Develop ETL logic utilizing Informatica Data Management Cloud to support existing and future deployments
Execute technical aspects of data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data
Assist teammates and business partners with building technical solutions that solve problems, are reusable, scalable, fast, and maintainable through large datasets, both clean and un-clean
Work with multiple development technologies including SQL
Learn new and existing tools, resources, and processes
Assist in the implementation of architecture and solutions
Develop and deliver code to support existing and future deployments
Supervisory Responsibilities: This role does not have formal people leadership responsibilities but may provide guidance, mentorship, or subject matter expertise to others.
Knowledge, Skills & Abilities
Strong analytical, critical-thinking, and problem-solving skills
Strong interpersonal communication skills, written and verbal
Fast, adaptive learner
Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Ability to manage multiple tasks and deadlines simultaneously
Exhibits flexibility and tolerance for ambiguity with the ability to thrive in a rapidly changing business environment
Results-oriented & Dedicated work ethic
Basic understanding of object-oriented analysis and design
Minimum Qualifications
Bachelors Degree with emphasis in technology, engineering, or math
Combination of education and experience considered in lieu of degree.
2+ years of relevant professional experience
Experience working with data structures and ETL tools (e.g., 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
Other Requirements
This position primarily involves sedentary work, requiring long periods of sitting, regular use of a computer, and occasional standing or walking, with reasonable accommodations available.
Perform other functions, duties and projects as assigned
Regular and punctual attendance
Ability to travel up to: 10% of the time
Additional Information
Work Environments
F&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. During the hiring process, you'll work with your leader to decide what works best for your role.
F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. If reasonable accommodation is needed to participate in the job application or interview process, please contact talentacquisition@fglife.com.
Join our employee-centric hybrid work environment: F&G Careers
About F&G
Since 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life’s unexpected events.
As a national Top Workplace1, an Iowa Top Workplace2 and a proud equal opportunity employer, F&G team members are empowered, collaborative, dynamic and authentic. We believe that by embracing these values, we will continue to build and strengthen the company while continuing to be a great place to work.
1Top Workplaces USA 2022 – 2023
2Des Moines Register Top Workplaces 2018 – 2022
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Work arrangement
No