Signature IT World Inc
Databricks Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Developer on a contract basis in Boston, MA. Key skills include Apache Spark, Python, SQL, Delta Lake, and cloud platforms (Azure, AWS, GCP). Experience in building ETL/ELT pipelines is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Data Science #Code Reviews #Databricks #Data Lake #Azure #Data Engineering #Data Architecture #PySpark #"ETL (Extract #Transform #Load)" #Delta Lake #Data Processing #GCP (Google Cloud Platform) #Deployment #Apache Spark #Agile #Cloud #AWS (Amazon Web Services) #Scala #Spark SQL #Python #Data Pipeline #Batch #Spark (Apache Spark) #Storage #DevOps #SQL (Structured Query Language)
Role description
Role: Databricks Developer
Location: Boston, MA -Hybrid Onsite
Type: Contract
Job Summary
We are seeking a skilled Databricks Developer to design, develop, and optimize scalable data engineering solutions on the Databricks platform. The ideal candidate should have expertise in Apache Spark, Python, SQL, Delta Lake, and cloud platforms such as Azure, AWS, or GCP. The role involves building robust ETL/ELT pipelines, processing large-scale data, and collaborating with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
• Design, develop, and maintain data pipelines using Databricks and Apache Spark.
• Build scalable ETL/ELT workflows for batch and streaming data processing.
• Develop and optimize PySpark and Spark SQL applications.
• Implement data transformation and ingestion processes from multiple data sources.
• Work with Delta Lake to build reliable and performant data lakes.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Integrate Databricks solutions with cloud storage and cloud-native services.
• Collaborate with data architects, analysts, data scientists, and business stakeholders.
• Perform code reviews, testing, deployment, and production support.
• Monitor and troubleshoot data pipeline issues and performance bottlenecks.
• Follow CI/CD, Agile, and DevOps best practices.
Role: Databricks Developer
Location: Boston, MA -Hybrid Onsite
Type: Contract
Job Summary
We are seeking a skilled Databricks Developer to design, develop, and optimize scalable data engineering solutions on the Databricks platform. The ideal candidate should have expertise in Apache Spark, Python, SQL, Delta Lake, and cloud platforms such as Azure, AWS, or GCP. The role involves building robust ETL/ELT pipelines, processing large-scale data, and collaborating with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
• Design, develop, and maintain data pipelines using Databricks and Apache Spark.
• Build scalable ETL/ELT workflows for batch and streaming data processing.
• Develop and optimize PySpark and Spark SQL applications.
• Implement data transformation and ingestion processes from multiple data sources.
• Work with Delta Lake to build reliable and performant data lakes.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Integrate Databricks solutions with cloud storage and cloud-native services.
• Collaborate with data architects, analysts, data scientists, and business stakeholders.
• Perform code reviews, testing, deployment, and production support.
• Monitor and troubleshoot data pipeline issues and performance bottlenecks.
• Follow CI/CD, Agile, and DevOps best practices.
