Analytics Engineer II
$90,000–$115,000 year
On-siteOverland Park, Kansas, United States
Job Summary
Build and deliver enterprise data products by translating business requirements into scalable models and datasets using SQL, dbt, and Snowflake. Partner with Data Engineering, Business Intelligence, and business teams to design, implement, and support data products across the analytics lifecycle. Contribute to semantic-layer models and standardized definitions while applying Snowflake capabilities like DDL, RBAC, and Cortex for development and support. Support data quality and governance through validation, security practices, and CI/CD processes, providing clear documentation and project updates to stakeholders. This role offers hands-on involvement in modern data platforms and AI-enabled analytics capabilities within the Business Intelligence Team at Mariner.
Required Qualifications
- 3+ years of professional experience in analytics engineering, data engineering, or business intelligence", "3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure", "Experience developing and maintaining data models, pipelines, and reporting datasets", "Experience working in Agile environments and collaborating with cross-functional teams
Desired Qualifications
- bachelor's degree in computer science, engineering, data analytics, or a related technical field", "experience in wealth management or financial services", "experience with dbt for data modeling, testing, documentation, and deployment workflows", "experience with Git and version control practices", "understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools", "exposure to semantic-layer concepts and tools
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