Signature IT World Inc
Data Ops Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Ops Engineer with 8+ years of experience, offering a contract in Sunnyvale, California. Key skills include SQL, Python, ETL/ELT, and cloud platforms (AWS, Azure, GCP). Onsite work required; strong troubleshooting and communication skills essential.
🌎 - 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
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Automation #Databricks #Airflow #Azure #Data Engineering #GIT #"ETL (Extract #Transform #Load)" #Snowflake #Kubernetes #GCP (Google Cloud Platform) #Docker #DataOps #Monitoring #Cloud #Scala #AWS (Amazon Web Services) #Python #Data Pipeline #Data Quality #Spark (Apache Spark) #SQL (Structured Query Language)
Role description
Job Description
Role: Data Ops Engineer
Experience: 8+ Years
Type: Contract – C2C / W2
Location: Sunnyvale - California – 5 Day Onsite
Job Summary
Seeking an experienced DataOps Engineer to support and optimize enterprise data pipelines and data platforms. The ideal candidate should have hands-on experience with DataOps practices, ETL/ELT workflows, cloud platforms, automation, CI/CD, and monitoring to ensure reliable and scalable data operations.
Must Have Skills
• 8+ years of Data Engineering/DataOps experience
• Strong SQL and Python skills
• Experience with ETL/ELT pipelines
• Hands-on experience with Airflow or similar workflow orchestration tools
• Experience with AWS, Azure, or GCP
• CI/CD, Git, and automation experience
• Strong troubleshooting and communication skills
Good to Have
• Experience with Spark, Databricks, or Snowflake
• Docker and Kubernetes knowledge
• Monitoring and data quality tools
• Experience in large-scale enterprise environments
Job Description
Role: Data Ops Engineer
Experience: 8+ Years
Type: Contract – C2C / W2
Location: Sunnyvale - California – 5 Day Onsite
Job Summary
Seeking an experienced DataOps Engineer to support and optimize enterprise data pipelines and data platforms. The ideal candidate should have hands-on experience with DataOps practices, ETL/ELT workflows, cloud platforms, automation, CI/CD, and monitoring to ensure reliable and scalable data operations.
Must Have Skills
• 8+ years of Data Engineering/DataOps experience
• Strong SQL and Python skills
• Experience with ETL/ELT pipelines
• Hands-on experience with Airflow or similar workflow orchestration tools
• Experience with AWS, Azure, or GCP
• CI/CD, Git, and automation experience
• Strong troubleshooting and communication skills
Good to Have
• Experience with Spark, Databricks, or Snowflake
• Docker and Kubernetes knowledge
• Monitoring and data quality tools
• Experience in large-scale enterprise environments
