Hillview Consulting Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Menlo Park, CA, offering $60 to $70/hr for a 6+ month contract. Requires 5+ years of experience, advanced SQL and Python skills, and expertise in ETL, data modeling, and distributed systems.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
June 25, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Looker #Data Analysis #SQL (Structured Query Language) #AI (Artificial Intelligence) #Data Governance #Monitoring #Scala #Visualization #ML (Machine Learning) #Python #Tableau #Data Quality #Data Science #Data Engineering #Data Warehouse #Datasets #"ETL (Extract #Transform #Load)"
Role description
Job Tilte : Data Engineer (mid level)
Location: Menlo Park, CA
Payrate- $60 to 70/hr
6+ months contract onsite job.
Responsibilitie
• sDesign, build, and maintain large-scale ETL pipelines
• .Develop data models and optimize data warehouses
• .Perform data analysis to generate business insights
• .Collaborate with Software Engineers, Product Managers, Analysts, and Data Scientists
• .Own data quality, SLAs, and monitoring processes
• .Build scalable frameworks and dashboards
• .Handle structured and unstructured datasets
• .Improve data governance and pipeline performance
.Required Skill
• s5+ years of Data Engineering experience
• .Advanced SQL and Python
• .Strong experience with
• :Spar
• kHadoo
• pHiv
• ePrest
• oAirflo
• wETL developmen
• tData modelin
• gDimensional modelin
• gData warehousin
• gExperience with distributed systems and large datasets
• .Excellent stakeholder communication skills
.Preferre
• dExposure to machine learning or AI datasets
• .Tableau, Looker, or visualization tools
.
Job Tilte : Data Engineer (mid level)
Location: Menlo Park, CA
Payrate- $60 to 70/hr
6+ months contract onsite job.
Responsibilitie
• sDesign, build, and maintain large-scale ETL pipelines
• .Develop data models and optimize data warehouses
• .Perform data analysis to generate business insights
• .Collaborate with Software Engineers, Product Managers, Analysts, and Data Scientists
• .Own data quality, SLAs, and monitoring processes
• .Build scalable frameworks and dashboards
• .Handle structured and unstructured datasets
• .Improve data governance and pipeline performance
.Required Skill
• s5+ years of Data Engineering experience
• .Advanced SQL and Python
• .Strong experience with
• :Spar
• kHadoo
• pHiv
• ePrest
• oAirflo
• wETL developmen
• tData modelin
• gDimensional modelin
• gData warehousin
• gExperience with distributed systems and large datasets
• .Excellent stakeholder communication skills
.Preferre
• dExposure to machine learning or AI datasets
• .Tableau, Looker, or visualization tools
.
