Enterprise Data Engineer

Sammons Financial Group • West Des Moines, IA

1d

About The Position

Enterprise data engineers (systems analyst) will be responsible for designing and implementing scalable data and integration solutions. This role requires strong technical skills in Snowflake, SQL and DBT, with a focus on enabling high-quality data flow and seamless integration across enterprise systems. The ideal candidate will be both a hands-on technologist and a strategic thinker who ensures solutions are performant, secure, and aligned with business objectives. This position may be filled at the Systems Analyst 2 or 3 level, based on skills, experience, and alignment to the role’s scope as evaluated through our structured selection process.

Requirements

• Effective verbal and written communications skills and the ability to communicate with business partners and other IT staff
• Problem solving skills sufficient to perform research and recommend a proposed solution to problems
• Able to work on multiple tasks and meet established deadlines
• Able to effectively direct and coordinate the work of other team members on a project without having HR management responsibility for them
• Knowledge of computer programming languages as required for the system
• Criminal background check required.

Nice To Haves

• College Degree in the field of computer science, information science, management information systems
• Minimum 8 years' IT development experience or equivalent
• Certifications in Snowflake.
• Experience in the Life Insurance or Financial Services domain.

Responsibilities

• Design, develop, and implement scalable data pipelines and ELT/ETL solutions using Snowflake and modern data engineering frameworks.
• Develop and manage data transformations and orchestration using dbt, Azure Data Factory (ADF), Azure Data Lake (ADL), or comparable tools.
• Integrate Snowflake with enterprise systems and cloud data platforms (e.g., MuleSoft, Kafka, REST APIs).
• Collaborate with product owner, architects, and developers to translate business and technical requirements into scalable data solutions.
• Prepare and interpret business, functional, and non-functional requirements and translate them into effective data models and pipelines.
• Establish and enforce data engineering standards, best practices, and governance controls.
• Implement quality assurance of data processing, transformations, and error resolution.
• Monitor pipeline performance, reliability, and cost efficiency; recommend and implement improvements.
• Research and recommend emerging tools, patterns, and technologies that improve data delivery and integration efficiency.

Benefits

• Comprehensive health coverage for you and your family, including Medical, Dental, Vision, HSA & FSA options, and term life insurance.
• Competitive compensation with a performance-based incentive program tied to clear goals and individual and/or company success.
• 100% company-funded Employee Stock Ownership Plan (ESOP)
• Automatic enrollment in our 401(k).
• Friday afternoons off year-round
• Generous paid time off
• Paid holidays
• Paid development time
• Tuition reimbursement
• Professional development opportunities across industry, individual, and leadership programs.
• Volunteer time off
• Company nonprofit matching gift program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree