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# Database Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Security, Data Systems, Data Visualization, Relational Databases, Electronic Data Interchange (EDI), Microsoft SQL Server, SQL Azure, Power BI, SQL Server Integration Services, Systems Integration, Data Ingestion, Azure Data Factory, Data Pipelines, Microservices
- **Published:** September 6, 2026
- **Apply:** https://www.careerjet.com/jobad/uscbf09b1a3b3720864fe6a35bae4bc600

## About the Role

* Proven experience with Azure SQL and SQL Server.
 * Hands-on experience building and maintaining ETL/ELT pipelines.
 * Familiarity with data integration best practices and tools.
 * Knowledge of Power BI or similar visualization tools.
 * Strong understanding of relational database design and data modeling.
 * Experience in cross-functional collaboration and stakeholder communication.
 * Understanding of data security, privacy, and compliance considerations.
 * Strong analytical and problem-solving skills.

 * Experience with Azure Data Factory or SSIS, exposure to healthcare or other regulated environments, and an Azure Data Engineer Associate certification are preferred but not required.

## Description

The ideal candidate has healthcare or regulated industry experience, is based in or able to work on-site in Denver, CO, and brings strong experience with Azure SQL, SQL Server, ETL/ELT pipelines, data integration, and data modeling. Candidate will work closely with the DBA, API/Services team, and business stakeholders to develop reliable, scalable data solutions., * Design, develop, and maintain scalable and reliable ETL/ELT pipelines for data ingestion, transformation, and loading across Azure SQL and SQL Server environments.

 * Partner with the API/Services team to build and maintain integrations between APIs, microservices, and database systems, ensuring efficient data exchange and synchronization.
 * Collaborate with the DBA to develop and optimize database schemas and data models that support application, operational, and reporting requirements.
 * Establish and maintain processes for data quality assurance, including monitoring, validation, and data integrity throughout the pipeline.
 * Work across technical teams and with business stakeholders to understand data requirements and translate them into effective data solutions.
 * Develop and maintain clear documentation for data pipelines, data models, integrations, and processes to support knowledge transfer and ongoing development.
 * Apply data security, privacy, and compliance best practices throughout the data engineering lifecycle, working with the DBA on database-level controls and policies.
 * Transform, aggregate, and prepare data to support analytics, reporting, Power BI, dashboards, and other business intelligence initiatives.


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