Planet Pharma
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis, offering $110-120/hr for 10+ years of experience. Requires expertise in SQL, Python, AWS/GCP/Azure, and data governance. Must be US-based, Eastern/Central Time Zone, with Pharma industry experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Marlborough, MA
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🧠 - Skills detailed
#Compliance #Data Lake #"ETL (Extract #Transform #Load)" #BigQuery #SQL (Structured Query Language) #Data Engineering #Security #Strategy #Redshift #Data Warehouse #Databases #Web Services #Microsoft Azure #Data Governance #Data Quality #Leadership #Scala #Airflow #Data Pipeline #Documentation #Azure #Python #AWS (Amazon Web Services) #Tableau #Apache Airflow #BI (Business Intelligence) #Computer Science #GCP (Google Cloud Platform) #Cloud #dbt (data build tool)
Role description
Job Overview
We are currently seeking a dynamic, motivated, and highly experienced individual for the position of Contractor, Senior Data Engineer that is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, this individual supports the engineering strategy, ensures data platform scalability, and delivers high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization.
Job Duties And Responsibilities
• Data Pipeline Development
• Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.
• Data Governance & Security
• Enforce strict data quality standards and ensure all system designs meet security compliance requirements.
• Leadership & Strategy
• Mentor junior engineers, translate complex business requirements into technical solutions.
• Performance Optimization
• Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.
• Collaboration & Stakeholder Support
• Ensure implemented Data Products meet the vision and goals of Data Consumers.
• Documentation & Best Practices
• Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards.
Experience and Education
Must Have
• 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Languages: Advanced proficiency in SQL and Python
• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Data Warehouses & Frameworks: BigQuery or Redshift.
• Orchestration & Streaming: Apache Airflow, dbt (data build tool).
• US-based, Eastern/Central Time Zone
• Fluent English Speaker
Nice-to-have
• 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Experience optimizing Data Pipelines
• Prior experience working in the Pharma industry
• Experience with BI Tools (e.g. Tableau)
Pay ranges between 110-120/hr based on experience
Job Overview
We are currently seeking a dynamic, motivated, and highly experienced individual for the position of Contractor, Senior Data Engineer that is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, this individual supports the engineering strategy, ensures data platform scalability, and delivers high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization.
Job Duties And Responsibilities
• Data Pipeline Development
• Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.
• Data Governance & Security
• Enforce strict data quality standards and ensure all system designs meet security compliance requirements.
• Leadership & Strategy
• Mentor junior engineers, translate complex business requirements into technical solutions.
• Performance Optimization
• Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.
• Collaboration & Stakeholder Support
• Ensure implemented Data Products meet the vision and goals of Data Consumers.
• Documentation & Best Practices
• Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards.
Experience and Education
Must Have
• 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Languages: Advanced proficiency in SQL and Python
• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Data Warehouses & Frameworks: BigQuery or Redshift.
• Orchestration & Streaming: Apache Airflow, dbt (data build tool).
• US-based, Eastern/Central Time Zone
• Fluent English Speaker
Nice-to-have
• 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Experience optimizing Data Pipelines
• Prior experience working in the Pharma industry
• Experience with BI Tools (e.g. Tableau)
Pay ranges between 110-120/hr based on experience
