Iris Software Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with expertise in Databricks, requiring long-term W2 contract work in Boston, MA. Key skills include Apache Spark, Delta Lake, ETL development, and experience with Azure/AWS/GCP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Azure #Data Science #Delta Lake #Data Processing #AWS (Amazon Web Services) #Storage #Data Analysis #Databricks #BI (Business Intelligence) #Data Governance #Compliance #Data Engineering #Scala #Data Pipeline #Security #Data Quality #Cloud #GCP (Google Cloud Platform) #Spark (Apache Spark) #Apache Spark #Data Ingestion #Monitoring
Role description
Position Title: Data Engineer – Databricks (W2 Role)
Department: Data & Analytics
Location: Boston, MA
Employment Type: Long-term W2 Contract only
About the Role
We are seeking a skilled Data Engineer with strong experience in Databricks to design, build, and optimize scalable data pipelines. The ideal candidate will have hands-on expertise with Apache Spark, Delta Lake, ETL development, and cloud data platforms (Azure/AWS/GCP).
You will work closely with data analysts, data scientists, and business stakeholders to enable high-quality data solutions that support analytics and business intelligence initiatives.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
• Build and optimize Delta Lake architectures for high‑performance data processing.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Develop data ingestion frameworks from various structured and unstructured data sources.
• Implement data quality checks, data validation frameworks, and monitoring systems.
• Optimize performance of data pipelines for scalability and reliability.
• Work with cloud platforms (Azure/AWS/GCP) to manage storage, compute, and orchestration services.
• Ensure best practices around data governance, security, and compliance.
• Troubleshoot data pipeline issues and provide root-cause analysis.
• Document technical designs, workflows, and data models.
Position Title: Data Engineer – Databricks (W2 Role)
Department: Data & Analytics
Location: Boston, MA
Employment Type: Long-term W2 Contract only
About the Role
We are seeking a skilled Data Engineer with strong experience in Databricks to design, build, and optimize scalable data pipelines. The ideal candidate will have hands-on expertise with Apache Spark, Delta Lake, ETL development, and cloud data platforms (Azure/AWS/GCP).
You will work closely with data analysts, data scientists, and business stakeholders to enable high-quality data solutions that support analytics and business intelligence initiatives.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
• Build and optimize Delta Lake architectures for high‑performance data processing.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Develop data ingestion frameworks from various structured and unstructured data sources.
• Implement data quality checks, data validation frameworks, and monitoring systems.
• Optimize performance of data pipelines for scalability and reliability.
• Work with cloud platforms (Azure/AWS/GCP) to manage storage, compute, and orchestration services.
• Ensure best practices around data governance, security, and compliance.
• Troubleshoot data pipeline issues and provide root-cause analysis.
• Document technical designs, workflows, and data models.
