Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Mountain View, CA, on a W2 contract. Requires 3+ years in Python, AWS, Linux, Terraform, and Databricks. Familiarity with CI/CD and cloud-native tools is essential; certifications are a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Data Processing #Scala #Logging #EC2 #Docker #Infrastructure as Code (IaC) #Datadog #AWS (Amazon Web Services) #Cloud #Monitoring #"ETL (Extract #Transform #Load)" #Security #Databricks #IAM (Identity and Access Management) #Prometheus #Automation #DevOps #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Deployment #Terraform #Data Engineering #Linux #Python #Kubernetes #Data Pipeline
Role description
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JOB ROLE: AWS Data Platform Engineer
LOCATION: Mountain View, CA
CONTRACT: W2 Only, No C2C/1099
VISA: GC, USC & H4 EAD
JOB DESCRIPTION:
We are seeking a highly skilled and motivated Cloud & Data Platform Engineer with strong experience in Python, AWS, Linux, Terraform, and Databricks. The ideal candidate will be responsible for developing, automating, and maintaining our cloud-based infrastructure and data platform solutions. Experience with modern DevOps practices and cloud-native tools is essential.
Expertise You'll Bring
• 3+ years of experience with Python in a production environment.
• Hands-on expertise with AWS services such as EC2, S3, IAM, Lambda, RDS, Glue, etc.
• Proficiency in Terraform and Infrastructure as Code (IaC) principles.
• Strong working knowledge of Linux system administration.
• Practical experience developing and deploying solutions on Databricks.
• Familiarity with CI/CD tools and practices.
• Excellent problem-solving and communication skills.
What You'll Do
• Develop infrastructure as code using Terraform to manage and provision AWS resources.
• Design, build, and maintain scalable Databricks data pipelines and workflows.
• Write clean, maintainable Python code for automation and data processing tasks.
• Manage and support Linux-based systems, ensuring system availability, performance, and security.
• Collaborate with data engineers, DevOps teams, and cloud architects to ensure seamless deployment and operations of data products.
• Implement monitoring, logging, and alerting solutions for cloud and data services.
• Optimize cloud resource utilization and drive cost-efficiency across AWS environments.
Good to Have:
• Experience with Docker and container orchestration (e.g., Kubernetes).
• Exposure to monitoring tools like CloudWatch, Prometheus, or Datadog.
• Understanding of data engineering principles and ETL frameworks.
• Knowledge of security best practices in cloud environments.
• Certifications such as AWS Certified Solutions Architect, Terraform Associate, or Databricks Certified Developer
