Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include advanced SQL, healthcare dataset analysis, and proficiency in Tableau and Databricks. Strong communication and problem-solving abilities are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Data Profiling #Data Pipeline #Leadership #Databricks #SQL (Structured Query Language) #Visualization #Tableau #Datasets #SQL Queries #Data Engineering #BI (Business Intelligence) #Databases #Pivot Tables #Data Analysis
Role description
Key Responsibilities
• Write and maintain complex SQL queries in Databricks, integrating multiple data sources to generate actionable insights.
• Maintain and update monthly pipeline data refreshes.
• Analyze healthcare datasets (claims, real-world evidence, patient-level data, product usage) to build robust datasets and support market intelligence.
• Apply data validation principles to ensure accuracy, consistency, and integrity.
• Support leadership in developing KPIs and operational metrics.
• Create dashboards and visualizations using Tableau, Excel, and Databricks BI tools.
• Manage multiple projects in a fast-paced environment, track progress, and keep stakeholders informed.
• Collaborate with external partners and internal cross-functional teams.
Qualifications
• Advanced SQL skills, including query optimization and stored procedures.
• Experience with database objects, file feeds, reporting, and ad hoc data analysis.
• Proficiency in data profiling, validation, and structured/semi-structured data pipelines.
• Strong knowledge of data models, schemas, and databases.
• Advanced Excel skills (pivot tables, data retrieval, comparisons).
• Familiarity with healthcare datasets; experience with claims or patient-level data preferred.
• Strong communication skills with ability to translate findings into business insights.
• Ability to work independently, problem-solve with imperfect data, and collaborate across teams.
• Eagerness to learn, adapt, and contribute to a growing organization.
Key Responsibilities
• Write and maintain complex SQL queries in Databricks, integrating multiple data sources to generate actionable insights.
• Maintain and update monthly pipeline data refreshes.
• Analyze healthcare datasets (claims, real-world evidence, patient-level data, product usage) to build robust datasets and support market intelligence.
• Apply data validation principles to ensure accuracy, consistency, and integrity.
• Support leadership in developing KPIs and operational metrics.
• Create dashboards and visualizations using Tableau, Excel, and Databricks BI tools.
• Manage multiple projects in a fast-paced environment, track progress, and keep stakeholders informed.
• Collaborate with external partners and internal cross-functional teams.
Qualifications
• Advanced SQL skills, including query optimization and stored procedures.
• Experience with database objects, file feeds, reporting, and ad hoc data analysis.
• Proficiency in data profiling, validation, and structured/semi-structured data pipelines.
• Strong knowledge of data models, schemas, and databases.
• Advanced Excel skills (pivot tables, data retrieval, comparisons).
• Familiarity with healthcare datasets; experience with claims or patient-level data preferred.
• Strong communication skills with ability to translate findings into business insights.
• Ability to work independently, problem-solve with imperfect data, and collaborate across teams.
• Eagerness to learn, adapt, and contribute to a growing organization.
