Data Engineer

Role Description

The Data Engineer will support the growth of leading-edge health and human service data projects that use data to transform care across the nation. This role is responsible for working simultaneously on more than one project within a team that includes technical experts, data engineers, data scientists, research associates, project managers, and subject matter experts – to achieve project goals and deliverables.

The Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support organizational analytics, reporting, and data quality initiatives. This role works independently on complex data engineering tasks and owns end-to-end data pipelines, integrations, and performance optimization using SQL, Python, and Microsoft Azure technologies.

Qualifications

• Bachelor’s degree in computer science, information systems, or related field (or equivalent experience)
• 3–5 years of experience in data engineering or related roles
• Strong proficiency in SQL and Python
• Experience with Azure data services and data pipeline design
• Experience building and optimizing data pipelines, architectures, and datasets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience supporting and working with cross-functional teams in a dynamic environment
• Excellent attention to detail
• Awareness of DevOps and Agile principles
• Intermediate to advanced expertise with RESTful APIs, XML, JSON, C#, JavaScript, jQuery, and Azure Data Factory
• Promote teamwork and team-building

Requirements

• Design, develop, and maintain scalable data pipelines and automation workflows
• Own and optimize ETL/ELT processes using SQL, Python, and Azure data technologies
• Develop and maintain REST APIs and other data integration mechanisms
• Integrate new and external data sources into production data environments
• Monitor, test, and optimize data systems for performance and reliability
• Define and implement data quality checks and reporting frameworks
• Design and maintain dashboards, scorecards, and reports
• Collaborate with cross-functional teams to improve data systems
• Mentor Associate Data Engineers
• Attend staff, team, and other required meetings and trainings

Benefits

• Health
• Dental
• Short- and long-term disability
• Life Insurance
• 403(b) retirement plan
• Flexible spending accounts
• Education assistance program
• 10 paid holidays
• Remote work stipends (e.g., home office improvements, internet/mobile services)

Company Description

HSRI is a nonprofit organization that conducts research and evaluation to improve health and human service systems. We work at the local, state, and federal levels. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practices to address root causes of disparities and improve health outcomes.

Our teams have an unwavering commitment to envisioning equitable policies and solutions that create a stronger society for us all. HSRI is an equal opportunity employer and is committed to building a diverse team, bringing as many possible perspectives as possible to bear on services that can profoundly affect people’s health and well-being by addressing social determinants of health. We are committed to building an inclusive environment where people of all backgrounds can come to do their best work.