VeeAR Projects Inc.
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Sr. Data Engineer for a contract length of "X months" with a pay rate of "$X per hour." Key skills include Python, GCP, AWS, ETL/ELT, and Tableau. Experience in AI/ML and data visualization is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Monitoring #Model Evaluation #BI (Business Intelligence) #ML (Machine Learning) #Logging #BigQuery #Cloud #Data Processing #Tableau #GCP (Google Cloud Platform) #Data Science #Storage #Visualization #Data Engineering #Data Pipeline #Observability #Automation #Dataflow #"ETL (Extract #Transform #Load)" #AWS S3 (Amazon Simple Storage Service) #Data Exploration #AI (Artificial Intelligence) #Python #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Scala
Role description
• Develop and maintain scalable data pipelines and ETL/ELT workflows to support analytics initiatives.
• Build impactful Tableau dashboards and data visualizations to enable data-driven decision-making.
• Use Python for data processing, automation, and implementing machine learning workflows.
• Apply AI/ML techniques for predictive analytics, model development, and insights generation.
• Work with GCP (BigQuery, Dataflow, Cloud Storage) and AWS (S3, Lambda, Glue) for cloud-based data solutions.
• Implement observability practices including logging, monitoring, and alerting for data systems.
• Perform data science tasks including data exploration, feature engineering, and model evaluation.
• Execute business intelligence and analytics activities to translate data into actionable insights.
• Collaborate with cross-functional teams to understand requirements and deliver reliable data engineering solutions.
• Develop and maintain scalable data pipelines and ETL/ELT workflows to support analytics initiatives.
• Build impactful Tableau dashboards and data visualizations to enable data-driven decision-making.
• Use Python for data processing, automation, and implementing machine learning workflows.
• Apply AI/ML techniques for predictive analytics, model development, and insights generation.
• Work with GCP (BigQuery, Dataflow, Cloud Storage) and AWS (S3, Lambda, Glue) for cloud-based data solutions.
• Implement observability practices including logging, monitoring, and alerting for data systems.
• Perform data science tasks including data exploration, feature engineering, and model evaluation.
• Execute business intelligence and analytics activities to translate data into actionable insights.
• Collaborate with cross-functional teams to understand requirements and deliver reliable data engineering solutions.
