Data Engineer (remote)

Human Services Research Institute•Cambridge, MA

3d•$82,100 - $122,150•Remote

About The Position

Human Services Research Institute (HSRI) is seeking a full-time Data Engineer. 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.

Requirements

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
Must have unrestricted authorization to work for any employer in the U.S.

Responsibilities

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