Database Engineer

Symmetrio•Denver, CO

3d•$115,000 - $140,000•Onsite

About The Position

Symmetrio is recruiting for a Database Engineer on behalf of our customer, a leading and innovative healthcare technology organization dedicated to improving patient outcomes through advanced clinical data and technology solutions. We are seeking an experienced Database Engineer to join their team and design, build, and maintain scalable data solutions that support our customer's growing needs. 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. This is a full-time, on-site position in Denver, CO, offering a $115,000–$140,000 annual salary, depending on experience. The position also includes a 401(k) retirement plan, PTO, and a comprehensive benefits package.

Requirements

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.

Nice To Haves

Experience with Azure Data Factory or SSIS
Exposure to healthcare or other regulated environments
Azure Data Engineer Associate certification

Responsibilities

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.