Healthcare DataOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Healthcare DataOps Engineer on a remote contract basis, requiring 10+ years of experience. Key skills include cloud platforms (AWS, Azure), data engineering, Python/Scala programming, DevOps tools, and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 20, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#BigQuery #Jenkins #Databases #Database Design #Spark (Apache Spark) #NoSQL #Data Processing #Python #Data Engineering #Apache Spark #Docker #Azure #Hadoop #GIT #Kubernetes #AWS (Amazon Web Services) #Cloud #Big Data #SQL (Structured Query Language) #Data Manipulation #Redshift #Data Modeling #Automation #Programming #Azure Data Factory #Airflow #Amazon Redshift #"ETL (Extract #Transform #Load)" #GitHub #Version Control #ADF (Azure Data Factory) #Scripting #DataOps #AWS Glue #Scala #DevOps
Role description
Job Title - Healthcare DataOps Engineer
Job Location - EST Time Zone OR CST Time Zone
Job Type - Contract
Job Mode - Remote
Experience - 10+ years
Job Description -
• Proficiency in Cloud Platforms: Hands-on experience with cloud services for data processing, such as AWS Glue, Amazon Redshift, Google BigQuery, or Azure Data Factory.
• Expertise in Data Engineering: Strong background in data modeling, database design, and ETL/ELT principles.
• Scripting and Programming Languages: Proficient in languages like Python or Scala for data manipulation and automation.
• Familiarity with DevOps Tools: Experience with version control systems (Git), CI/CD tools (Jenkins, GitHub Actions), and containerization technologies (Docker, Kubernetes).
• Big Data Technologies: Experience with frameworks like Apache Spark, Hadoop, or Airflow.
• Database Knowledge: Strong knowledge of both relational (SQL) and NoSQL databases.
• Problem-Solving Skills: Excellent analytical and troubleshooting abilities to resolve complex data issues
Job Title - Healthcare DataOps Engineer
Job Location - EST Time Zone OR CST Time Zone
Job Type - Contract
Job Mode - Remote
Experience - 10+ years
Job Description -
• Proficiency in Cloud Platforms: Hands-on experience with cloud services for data processing, such as AWS Glue, Amazon Redshift, Google BigQuery, or Azure Data Factory.
• Expertise in Data Engineering: Strong background in data modeling, database design, and ETL/ELT principles.
• Scripting and Programming Languages: Proficient in languages like Python or Scala for data manipulation and automation.
• Familiarity with DevOps Tools: Experience with version control systems (Git), CI/CD tools (Jenkins, GitHub Actions), and containerization technologies (Docker, Kubernetes).
• Big Data Technologies: Experience with frameworks like Apache Spark, Hadoop, or Airflow.
• Database Knowledge: Strong knowledge of both relational (SQL) and NoSQL databases.
• Problem-Solving Skills: Excellent analytical and troubleshooting abilities to resolve complex data issues
