Insight Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst, fully remote, with a contract starting ASAP. Pay is $40-$45/hr. Requires 5+ years in data analytics, expertise in Databricks, Spark, SQL, and healthcare claims data, plus cloud platform experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
360
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🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Azure #Security #SQL (Structured Query Language) #GCP (Google Cloud Platform) #SQL Queries #AWS (Amazon Web Services) #Data Lake #Data Processing #Python #"ETL (Extract #Transform #Load)" #Cloud #Compliance #Databricks #Scala #Data Governance #Spark (Apache Spark) #Data Quality #Data Engineering #Data Manipulation #Data Pipeline #Spark SQL #Data Analysis #Datasets
Role description
Position: Senior Data Analyst
Location: Fully Remote
Schedule: Monday–Friday, 8:00 AM – 5:00 PM PST
Start Date: ASAP
Key Responsibilities
• Design, build, and maintain scalable data pipelines using Databricks and Spark for ingestion, transformation, and processing of healthcare data from multiple sources.
• Develop and optimize workflows for ETL/ELT processes within Databricks, ensuring high performance and reliability.
• Implement data quality checks, governance, and compliance standards across all datasets.
• Collaborate with analysts and stakeholders to deliver clean, structured data for reporting and advanced analytics.
• Write and optimize SQL and Spark SQL queries for data manipulation and analysis.
• Monitor and troubleshoot data pipeline performance to ensure timely delivery of datasets.
• Document processes and provide technical guidance on best practices for Databricks and cloud-based data engineering.
Qualifications
• 5+ years of experience in data analytics, with a strong focus on healthcare claims data.
• Expert-level experience with Databricks, Spark, and distributed data processing.
• Proficiency in SQL and Python for data engineering tasks.
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data lake architectures.
• Strong understanding of data governance, security, and compliance in healthcare.
• Excellent communication skills to convey technical concepts and insights clearly.
Compensation: $40-$45/hr
Position: Senior Data Analyst
Location: Fully Remote
Schedule: Monday–Friday, 8:00 AM – 5:00 PM PST
Start Date: ASAP
Key Responsibilities
• Design, build, and maintain scalable data pipelines using Databricks and Spark for ingestion, transformation, and processing of healthcare data from multiple sources.
• Develop and optimize workflows for ETL/ELT processes within Databricks, ensuring high performance and reliability.
• Implement data quality checks, governance, and compliance standards across all datasets.
• Collaborate with analysts and stakeholders to deliver clean, structured data for reporting and advanced analytics.
• Write and optimize SQL and Spark SQL queries for data manipulation and analysis.
• Monitor and troubleshoot data pipeline performance to ensure timely delivery of datasets.
• Document processes and provide technical guidance on best practices for Databricks and cloud-based data engineering.
Qualifications
• 5+ years of experience in data analytics, with a strong focus on healthcare claims data.
• Expert-level experience with Databricks, Spark, and distributed data processing.
• Proficiency in SQL and Python for data engineering tasks.
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data lake architectures.
• Strong understanding of data governance, security, and compliance in healthcare.
• Excellent communication skills to convey technical concepts and insights clearly.
Compensation: $40-$45/hr
