Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 14 years of experience in healthcare. It is a remote W2 contract position requiring proficiency in Python, SQL, ETL pipelines, AWS, Databricks, Snowflake, and FHIR experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Terraform #Data Mapping #Python #SQS (Simple Queue Service) #AWS (Amazon Web Services) #PySpark #Spark (Apache Spark) #FHIR (Fast Healthcare Interoperability Resources) #Snowflake #Databricks #SQL (Structured Query Language) #Spark SQL #GitLab #Cloud #Data Engineering #Data Analysis #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service)
Role description
Job Title: Senior Data Engineer with Healthcare
Experience: 14 years
Contract: W2 Only No C2C
Visa: GC, USC & H4 EAD
Work Mode: Remote
Job Description :
• Proficient with Python and SQL
• Build and manage efficient ETL pipelines using Databricks workflows or other orchestration framework
• Familiarity with both structured and semi-structured data and ingesting and processing this data using PySpark
• Fundamental AWS services (S3, SQS) or similar services for other clouds
• Terraform and GitLab CICD
• Query tuning and performance optimization in SQL and/or SparkSQL
• Familiarity with data warehousing (snowflake or similar)
• Spark SQL
• AWS, Databricks, Snowflake
• Experience working for a cloud-based data services provider to large healthcare clients.
• FHIR experience
• Spark SQL
• AWS, Databricks, Snowflake
• Experience working for a cloud-based data services provider to large healthcare clients.
• FHIR experience
• Additional information:
• Work with clients & implementation team and understand the data distribution requirements
• Perform data analysis and data mapping required to produce client output.
• Build the data distribution extracts and scripts
Optimize the performance of the data extract scripts
Job Title: Senior Data Engineer with Healthcare
Experience: 14 years
Contract: W2 Only No C2C
Visa: GC, USC & H4 EAD
Work Mode: Remote
Job Description :
• Proficient with Python and SQL
• Build and manage efficient ETL pipelines using Databricks workflows or other orchestration framework
• Familiarity with both structured and semi-structured data and ingesting and processing this data using PySpark
• Fundamental AWS services (S3, SQS) or similar services for other clouds
• Terraform and GitLab CICD
• Query tuning and performance optimization in SQL and/or SparkSQL
• Familiarity with data warehousing (snowflake or similar)
• Spark SQL
• AWS, Databricks, Snowflake
• Experience working for a cloud-based data services provider to large healthcare clients.
• FHIR experience
• Spark SQL
• AWS, Databricks, Snowflake
• Experience working for a cloud-based data services provider to large healthcare clients.
• FHIR experience
• Additional information:
• Work with clients & implementation team and understand the data distribution requirements
• Perform data analysis and data mapping required to produce client output.
• Build the data distribution extracts and scripts
Optimize the performance of the data extract scripts
