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Description
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making.
Responsibilities:
Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.
Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.
Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.
Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.
Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.
Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.
Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.
Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
Requirements
At least 1 year of experience in a data engineering, analytics engineering, or data analyst role with hands-on work in SQL and ETL processes.
Practical experience with Databricks, Azure Databricks, Microsoft Fabric, or comparable modern cloud data platforms.
Familiarity with building, maintaining, and troubleshooting data pipelines in a warehouse or lakehouse environment.
Working knowledge of data modeling principles and an understanding of how curated datasets support reporting and business analysis.
Ability to write clear, efficient SQL for data extraction, transformation, validation, and performance analysis.
Experience collaborating with both technical and non-technical partners to gather requirements and deliver usable data assets.
Exposure to tools or practices such as version control, testing, documentation, and data quality monitoring.
Healthcare or participant-focused data experience is preferred but not required.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use and Privacy Notice.
Description
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making.
Responsibilities:
Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.
Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.
Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.
Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.
Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.
Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.
Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.
Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
Requirements
At least 1 year of experience in a data engineering, analytics engineering, or data analyst role with hands-on work in SQL and ETL processes.
Practical experience with Databricks, Azure Databricks, Microsoft Fabric, or comparable modern cloud data platforms.
Familiarity with building, maintaining, and troubleshooting data pipelines in a warehouse or lakehouse environment.
Working knowledge of data modeling principles and an understanding of how curated datasets support reporting and business analysis.
Ability to write clear, efficient SQL for data extraction, transformation, validation, and performance analysis.
Experience collaborating with both technical and non-technical partners to gather requirements and deliver usable data assets.
Exposure to tools or practices such as version control, testing, documentation, and data quality monitoring.
Healthcare or participant-focused data experience is preferred but not required.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use and Privacy Notice.