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# Systems Analyst 2

- **Company:** Sammons® Financial Group, Inc.
- **Location:** West Des Moines, IA, United States
- **Experience:** Expert
- **Salary:** $77,019.0 - $128,365.0
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Extract Transform Load (ETL), Data Transformation, Information Sciences, Cloud Services, Azure Data Lake, SQL Databases, Data Streaming, Enterprise Data Management, Data Processing, Enterprise Software Applications, Azure Data Factory, Snowflake, Information Technology, Apache Kafka, Data Delivery, Restful APIs, Data Pipelines, Mulesoft
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/a34c63c6-126d-4f0c-b573-f859b30c241e

## About the Role

* College Degree in the field of computer science, information science, management information systems Preferred
 * Minimum 8 years' IT development experience or equivalent Preferred
 * 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

## Description

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.

What You'll Do In This Role

 * 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.
 * Certifications in Snowflake.
 * Experience in the Life Insurance or Financial Services domain.


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