Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in the healthcare domain, offering a full-time remote position for over 6 months at a pay rate of "unknown." Requires 6+ years of experience with Python, Django, SQL, and AWS services, alongside healthcare data expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 5, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Automation #Security #Data Modeling #Data Processing #Python #Cloud #Redshift #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #Apache Airflow #Databricks #Scala #Database Design #Snowflake #Lambda (AWS Lambda) #Django #Data Engineering #Data Science #Compliance #Datasets #Airflow #AWS (Amazon Web Services) #Scripting #Data Pipeline #Data Privacy #Data Quality #FHIR (Fast Healthcare Interoperability Resources)
Role description
Job Title : Senior Data Engineer - Healthcare Domain Location: Remote (US) Experience: 6+ Years | Employment Type: Full Time Company: Vettura AI At Vettura, we're building secure, scalable cloud platforms that power critical healthcare and enterprise systems β€” and we're looking for a Data Engineer to join our growing team. If you have 6+ years of experience working with Python, Django, SQL, and AWS services like S3, Redshift, Glue, or EMR, this is a chance to take real ownership of healthcare data pipelines and infrastructure that matter. Key Responsibilities: β€’ Design, build, and maintain scalable and efficient data pipelines. β€’ Work with large datasets from healthcare systems (e.g., EHRs, claims, HL7/FHIR). β€’ Automate data workflows and support infrastructure using Python, Django, and SQL. β€’ Collaborate with data scientists, analysts, and domain experts to support business goals. β€’ Implement and manage data workflows using AWS services. β€’ Utilize Phoenix scripting language where applicable to streamline data operations. β€’ Ensure high standards of data quality, security, and compliance with healthcare regulations (HIPAA, etc.). Required Qualifications: β€’ 6+ years of experience as a Data Engineer. β€’ Proven experience working in the healthcare domain with an understanding of clinical or claims data. β€’ Strong experience with Python, Django & SQL for data processing, automation, and infrastructure work. β€’ Proficiency in AWS services such as S3, Lambda, Glue, Redshift, or EMR. β€’ Solid understanding of data modeling and database design principles. β€’ Familiarity with data privacy and compliance standards (e.g., HIPAA). Preferred Qualifications: β€’ Experience with Phoenix scripting language. β€’ Knowledge of FHIR, HL7, or other healthcare interoperability standards. β€’ Exposure to platforms like Snowflake, Databricks, or Apache Airflow. β€’ Strong analytical and communication skills. If this sounds like the right fitβ€”or if you know someone who might be a great matchβ€”I’d love to connect.