OnPoint Insights
Sr. Data & Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data & Analytics Engineer (contract length unknown) in Durham, NC (Hybrid), offering a competitive pay rate. Requires 6+ years of experience, proficiency in SQL, Python, Spark, and ETL development; healthcare data experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
North Carolina, United States
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🧠 - Skills detailed
#Data Pipeline #Databricks #Computer Science #Apache Spark #Data Quality #Data Processing #Data Engineering #Spark (Apache Spark) #Data Science #Python #Datasets #PySpark #Scala #Cloud #Libraries #Data Integration #"ETL (Extract #Transform #Load)" #Salesforce Marketing Cloud #SQL (Structured Query Language)
Role description
Sr. Data & Analytics Engineer – Job Description
Summary:
This role is ideal for an experienced data engineer who can build scalable data solutions, integrate complex datasets, improve data quality, and enable analytics-driven business decisions.
Location: Durham, NC (Hybrid )
Role Overview:
We are looking for a Senior Data & Analytics Engineer to design, build, and maintain scalable data pipelines and analytics solutions. This role focuses on integrating data from multiple sources, improving data quality, and creating reliable datasets that support business insights and decision-making.
Key Responsibilities:
• Build and maintain data pipelines using SQL, Python, Spark, and Databricks.
• Integrate data from multiple internal and external sources.
• Design and develop scalable data models for analytics, reporting, segmentation, and business use cases.
• Perform data transformation, validation, and quality checks.
• Troubleshoot data integration, modeling, and data quality issues.
• Optimize data processing and improve pipeline performance.
• Collaborate with business teams, IT teams, analytics teams, and external partners.
• Document data processes, standards, and best practices.
• Support analytics and reporting teams with clean, trusted datasets.
Required Skills:
• Bachelor’s degree in Computer Science, Data Science, or related field.
• 6+ years of experience in Data Engineering, Analytics Engineering, or Data Platform roles.
• Strong proficiency in:
• SQL
• Python
• Apache Spark / PySpark
• Databricks
• ETL/Data pipeline development
• Experience working with complex, evolving, or undocumented data sources.
• Strong troubleshooting and problem-solving skills.
• Excellent communication skills with technical and business stakeholders.
Preferred Skills:
• Experience with Healthcare or Pharmaceutical data.
• Knowledge of HCP, patient, NPI, claims, or marketing data.
• Experience with:
• Salesforce Marketing Cloud
• Data warehousing concepts
• Parquet and Hive Metastore
• Workflow orchestration tools
• Python data libraries
Sr. Data & Analytics Engineer – Job Description
Summary:
This role is ideal for an experienced data engineer who can build scalable data solutions, integrate complex datasets, improve data quality, and enable analytics-driven business decisions.
Location: Durham, NC (Hybrid )
Role Overview:
We are looking for a Senior Data & Analytics Engineer to design, build, and maintain scalable data pipelines and analytics solutions. This role focuses on integrating data from multiple sources, improving data quality, and creating reliable datasets that support business insights and decision-making.
Key Responsibilities:
• Build and maintain data pipelines using SQL, Python, Spark, and Databricks.
• Integrate data from multiple internal and external sources.
• Design and develop scalable data models for analytics, reporting, segmentation, and business use cases.
• Perform data transformation, validation, and quality checks.
• Troubleshoot data integration, modeling, and data quality issues.
• Optimize data processing and improve pipeline performance.
• Collaborate with business teams, IT teams, analytics teams, and external partners.
• Document data processes, standards, and best practices.
• Support analytics and reporting teams with clean, trusted datasets.
Required Skills:
• Bachelor’s degree in Computer Science, Data Science, or related field.
• 6+ years of experience in Data Engineering, Analytics Engineering, or Data Platform roles.
• Strong proficiency in:
• SQL
• Python
• Apache Spark / PySpark
• Databricks
• ETL/Data pipeline development
• Experience working with complex, evolving, or undocumented data sources.
• Strong troubleshooting and problem-solving skills.
• Excellent communication skills with technical and business stakeholders.
Preferred Skills:
• Experience with Healthcare or Pharmaceutical data.
• Knowledge of HCP, patient, NPI, claims, or marketing data.
• Experience with:
• Salesforce Marketing Cloud
• Data warehousing concepts
• Parquet and Hive Metastore
• Workflow orchestration tools
• Python data libraries
