Database Engineer

Database Engineer

This role sits at the core of large-scale data modernization initiatives, supporting the migration, transformation, and optimization of enterprise data systems into cloud-native environments. You will work hands-on with complex legacy datasets, ensuring they are clean, reliable, and analytics-ready for modern applications and reporting platforms. The position plays a key role in enabling data-driven decision-making by building robust ETL/ELT pipelines and strengthening data quality across systems. Operating in a highly collaborative technical environment, you will partner with application, analytics, and engineering teams to align data flows with modernization timelines. This is a delivery-focused role where precision, structure, and technical depth directly impact mission-critical outcomes. You will also contribute to data governance and documentation practices that ensure long-term scalability and trust in enterprise data assets.

Accountabilities:

• Execute end-to-end data engineering activities including discovery, profiling, extraction, transformation, and loading of data from legacy systems into Azure-based environments, ensuring accuracy and consistency across migration workflows.
• Design and implement ETL/ELT pipelines using modern Microsoft Azure data services, supporting structured data movement, validation, and integration across applications and reporting systems.
• Perform data cleansing, normalization, and standardization to improve data quality, while conducting reconciliation checks and validation with stakeholders to confirm migration completeness.
• Support data governance and documentation efforts by defining data standards, transformation logic, and maintaining technical artifacts for ongoing system reliability and compliance.
• Collaborate with application and analytics teams to coordinate migration timelines, enable data availability for production systems, and support reporting solutions such as Power BI dashboards.

Requirements:

• 5+ years of experience in data engineering, ETL development, or data migration, with strong hands-on SQL expertise and deep understanding of relational data modeling.
• Proven experience working with data cleansing, validation, and large-scale data migration projects from legacy systems into modern cloud environments.
• Strong proficiency with Microsoft Azure data services, including Azure Data Factory and Synapse, ideally within Azure Government Cloud environments.
• Experience with Microsoft Dataverse, including table structures, relationships, and data modeling concepts for enterprise applications.
• Familiarity with API-based data integration patterns, data governance principles, and analytics/reporting tools such as Power BI is highly valued.
• Ability to work independently while collaborating effectively with cross-functional technical teams in structured, delivery-focused environments.
• U.S. citizenship and eligibility for Public Trust clearance required.

Benefits:

• Competitive compensation aligned with experience and market standards
• Fully remote work arrangement within the United States
• Opportunity to work on high-impact federal and enterprise data modernization programs
• Exposure to advanced Microsoft Azure and cloud data technologies
• Collaborative, mission-driven technical environment focused on innovation and modernization
• Professional growth in data engineering, cloud architecture, and enterprise analytics
• Equal opportunity workplace committed to diversity, inclusion, and fair hiring practices