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# Big Data Engineer

- **Company:** Agero
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Databases, Data Governance, Dimensional Modeling, Python (Programming Language), Query Optimization, Role-Based Access Control, DataOps, Data Processing, Sql Optimization, Snowflake, Git, Deployment Automation, Oracle Ebusiness, Software Version Control, Data Pipelines, Workday
- **Published:** September 2, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/big-data-engineer/10968540

## About the Role

* Bachelor's degree in a technical field and 3-5 years of industry experience
 * Extensive experience with Snowflake and proven expertise in designing scalable data solutions in AWS.
 * Deep expertise in dbt Core, Medallion architecture principles, dimensional modeling techniques, and complex data transformations.
 * Proven experience with finance data modeling and a strong understanding of enterprise ERP systems (experience with Oracle EBS and/or Workday is highly preferred).
 * Strong understanding of data governance, security protocols, and RBAC to securely handle and protect sensitive enterprise financial data.
 * Advanced SQL skills for querying databases and proficiency in Python for data processing.
 * Familiarity with version control systems (e.g., Git) and implementing CI/CD pipelines for safe, automated deployments.
 * Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

## Description

* Develop and maintain robust ETL/ELT pipelines focused on our core stack of Snowflake and AWS.
 * Build modular, scalable data models using dbt Core, designing a Medallion architecture (Bronze, Silver, Gold) that transforms raw ingestion feeds into curated, business-ready data marts.
 * Work cross-functionally with business stakeholders to understand source systems and downstream consumption needs, translating complex financial workflows into reliable data solutions.
 * Write reusable, efficient, and scalable code in Python and SQL.
 * Enforce strict data governance and security best practices, including implementing RBAC across pipelines to protect critical financials and ensure compliance.
 * Implement data quality control by establishing automated testing frameworks, data observability, and comprehensive documentation to ensure safe data democratization.
 * Monitor cloud costs by analyzing resource usage and performing query optimization in Snowflake.


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