Data Engineer
VACO LLC
Houston, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Houston, United States of America
Tech stack
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data as a Services
Data Architecture
Data Cleansing
Information Engineering
Data Governance
Data Systems
Python
Machine Learning
Standard Sql
Data Streaming
Data Processing
Data Lake
Real Time Data
Data Pipelines
Databricks
Job description
- Design, build, and optimize scalable data pipelines in AWS
- Work with Databricks to support data processing and analytics use cases
- Contribute to the development of a modern data architecture (data lake/lakehouse)
- Integrate data from multiple sources and support new data initiatives
- Improve performance, reliability, and efficiency of data workflows
- Collaborate with analytics, business, and technical teams to deliver data solutions
- Help establish best practices around data engineering, deployment, and data quality
Requirements
- 5+ years of experience in data engineering or related roles
- Strong experience with AWS data services (S3, Redshift, Athena, or similar)
- Experience working with Databricks
- Strong SQL and Python skills
- Experience building and maintaining data pipelines and data models
- Understanding of modern data architecture concepts (data lakes, lakehouse, etc.)
- Ability to work in a fast-paced, evolving environment
Nice to Have
- Experience with streaming or real-time data technologies
- Exposure to machine learning or data science workflows
- Experience with data governance, cataloging, or data quality tools
