

Master Compliance
Data Engineer - Medical Device/Health Care
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in the Medical Device/Health Care sector, lasting 6 months with a hybrid location in Acton, MA or San Diego, CA. Key skills include SQL, Databricks, claims data expertise, and proficiency in Tableau.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Acton, MA
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🧠 - Skills detailed
#Datasets #Tableau #Data Engineering #Storytelling #AI (Artificial Intelligence) #Data Profiling #"ETL (Extract #Transform #Load)" #Data Processing #Databricks #Project Management #SQL (Structured Query Language) #Pivot Tables #SQL Queries #Data Pipeline #BI (Business Intelligence) #Visualization
Role description
Job Title :- Data Engineer
Location: Hybrid (Acton, MA or San Diego, CA) – ideally 2–3 days onsite per week
Duration: 6 Months
Hours: 40/week
Key Responsibilities
1. SQL & Data Engineering – Design, write, and maintain complex SQL queries (Databricks, stored procedures) to integrate data from multiple sources and generate actionable datasets.
1. Pipeline Management – Maintain and update monthly data refresh pipelines, including competitive updates and Total Addressable Market (TAM) analyses using claims data.
1. Healthcare Data Insights – Build robust datasets leveraging claims data, real-world evidence, product usage, and patient-level insights to inform market intelligence and enhance consumer experience.
1. Data Validation – Apply rigorous validation principles to ensure accuracy, consistency, and integrity across datasets and deliverables.
1. Metrics & Reporting – Partner with senior managers and directors to define and track KPIs, operational metrics, and reporting requirements.
1. Visualization & Storytelling – Develop and deliver compelling dashboards, charts, and reports using Tableau, Databricks Gen AI/BI Genie, and Excel.
1. Project Management – Manage multiple priorities in a fast-paced environment, ensuring timely delivery while maintaining strong relationships with stakeholders and vendors.
Qualifications
• SQL Expertise – Proven ability to design, optimize, and maintain complex SQL queries, stored procedures, and data extracts.
• Databricks Experience – Hands-on experience with data pipelines, large-scale datasets, and file feeds.
• Claims Data Knowledge – Familiarity with healthcare datasets, particularly claims and patient-level data; medical device data (diabetes) experience preferred.
• Data Processing & Validation – Strong skills in data profiling, quality checks, and analytics for structured and semi-structured data.
• Visualization Skills – Advanced proficiency in Tableau and Excel (pivot tables, advanced formulas, data comparison).
• Analytical & Problem-Solving – Ability to translate complex data into clear business insights and recommendations.
• Communication & Collaboration – Strong cross-functional stakeholder management and presentation skills.
• Self-Starter – Comfortable working with imperfect or siloed datasets and independently driving solutions.
• Passion for learning and thriving in a dynamic, high-growth environment.
Must-Haves / Keywords for Search
• SQL
• Databricks
• Claims Data
• Tableau
• Data Validation
Job Title :- Data Engineer
Location: Hybrid (Acton, MA or San Diego, CA) – ideally 2–3 days onsite per week
Duration: 6 Months
Hours: 40/week
Key Responsibilities
1. SQL & Data Engineering – Design, write, and maintain complex SQL queries (Databricks, stored procedures) to integrate data from multiple sources and generate actionable datasets.
1. Pipeline Management – Maintain and update monthly data refresh pipelines, including competitive updates and Total Addressable Market (TAM) analyses using claims data.
1. Healthcare Data Insights – Build robust datasets leveraging claims data, real-world evidence, product usage, and patient-level insights to inform market intelligence and enhance consumer experience.
1. Data Validation – Apply rigorous validation principles to ensure accuracy, consistency, and integrity across datasets and deliverables.
1. Metrics & Reporting – Partner with senior managers and directors to define and track KPIs, operational metrics, and reporting requirements.
1. Visualization & Storytelling – Develop and deliver compelling dashboards, charts, and reports using Tableau, Databricks Gen AI/BI Genie, and Excel.
1. Project Management – Manage multiple priorities in a fast-paced environment, ensuring timely delivery while maintaining strong relationships with stakeholders and vendors.
Qualifications
• SQL Expertise – Proven ability to design, optimize, and maintain complex SQL queries, stored procedures, and data extracts.
• Databricks Experience – Hands-on experience with data pipelines, large-scale datasets, and file feeds.
• Claims Data Knowledge – Familiarity with healthcare datasets, particularly claims and patient-level data; medical device data (diabetes) experience preferred.
• Data Processing & Validation – Strong skills in data profiling, quality checks, and analytics for structured and semi-structured data.
• Visualization Skills – Advanced proficiency in Tableau and Excel (pivot tables, advanced formulas, data comparison).
• Analytical & Problem-Solving – Ability to translate complex data into clear business insights and recommendations.
• Communication & Collaboration – Strong cross-functional stakeholder management and presentation skills.
• Self-Starter – Comfortable working with imperfect or siloed datasets and independently driving solutions.
• Passion for learning and thriving in a dynamic, high-growth environment.
Must-Haves / Keywords for Search
• SQL
• Databricks
• Claims Data
• Tableau
• Data Validation