Data Engineer – Databricks | Python | AWS | CI/CD(Fece to Face Interview)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience in Databricks, Python, AWS, and CI/CD. The contract is on-site in Boston, MA, offering a competitive pay rate. Key skills include Apache Spark, Git, and data pipeline development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Databricks #GitHub #Redshift #Spark (Apache Spark) #Python #Terraform #Scala #Jenkins #Apache Spark #Scripting #PySpark #Data Engineering #Data Pipeline #DevOps #Azure DevOps #S3 (Amazon Simple Storage Service) #Data Analysis #Cloud #CLI (Command-Line Interface) #AWS (Amazon Web Services) #Data Science #Data Manipulation #Azure #Lambda (AWS Lambda) #GIT #REST API #REST (Representational State Transfer)
Role description
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Role: Data Engineer – Databricks | Python | AWS | CI/CD
Location: [Boston , MA ] Need local profile only
Type: Contract
Experience: 5+ Years
Job Summary:
We are looking for an experienced Data Engineer with strong hands-on skills in Databricks, Python, AWS services, and CI/CD pipelines to develop scalable data solutions and automate data workflows. The candidate will work closely with data analysts, data scientists, and DevOps teams to build and maintain high-performance, reliable data pipelines.
Required Skills:
Strong experience with Databricks (notebooks, jobs, clusters, workflows)
Proficient in Python (data manipulation, APIs, scripting)
Hands-on with AWS ecosystem: S3, Glue, Lambda, Redshift, CloudWatch
Solid knowledge of Apache Spark and PySpark
Experience with CI/CD tools: Git, Jenkins, GitHub Actions, or Azure DevOps
Familiarity with Terraform, Databricks CLI, or REST APIs is a plus
