Database Engineer
Austin TX (Hybrid)
Long-term Contract
We are seeking a skilled Database Engineer with 5 or more years experience to design build and maintain scalable data systems that support analytics applications and emerging AI/ML use cases. This role requires strong expertise in data modeling data pipelines and modern database technologies across cloud environments. The ideal candidate combines solid computer science fundamentals with hands-on experience in both traditional and next-generation data platforms.
Responsibilities:
- Design and implement data models and database architectures to support business and technical requirements
- Develop optimize and maintain ETL processes and data pipelines for reliable data ingestion and transformation
- Work with structured and unstructured data across multiple storage technologies
- Implement and manage SQL and NoSQL databases for performance scalability and reliability
- Write clean efficient Python code for data processing automation and integration
- Deploy and manage vector databases to support AI/ML and semantic search use cases
- Collaborate with data scientists engineers and application teams to enable data-driven solutions
- Ensure data quality security and governance best practices
- Monitor and troubleshoot database performance and reliability issues
Required Skills/Qualifications:
- Strong knowledge of data modeling and database design principles
- Experience building and maintaining ETL and data pipeline solutions
- Solid understanding of data structures (trees graphs hash tables etc.)
- Hands-on experience with SQL and NoSQL databases
- Proficiency in Python for data engineering tasks
- Experience with vector databases (e.g. Pinecone Weaviate Chroma)
- Familiarity with at least one major cloud platform (GCP AWS or Azure)
- Strong problem-solving and analytical skills
- Good communication and collaboration abilities
Preferred Qualifications:
- Experience supporting AI/ML or GenAI workloads
- Knowledge of data governance and data security frameworks
- Experience with big data technologies or distributed systems
- DevOps/DataOps experience (CI/CD containerization orchestration)
Database Engineer Austin TX (Hybrid) Long-term Contract We are seeking a skilled Database Engineer with 5 or more years experience to design build and maintain scalable data systems that support analytics applications and emerging AI/ML use cases. This role requires strong expertise in data mod...
Database Engineer
Austin TX (Hybrid)
Long-term Contract
We are seeking a skilled Database Engineer with 5 or more years experience to design build and maintain scalable data systems that support analytics applications and emerging AI/ML use cases. This role requires strong expertise in data modeling data pipelines and modern database technologies across cloud environments. The ideal candidate combines solid computer science fundamentals with hands-on experience in both traditional and next-generation data platforms.
Responsibilities:
- Design and implement data models and database architectures to support business and technical requirements
- Develop optimize and maintain ETL processes and data pipelines for reliable data ingestion and transformation
- Work with structured and unstructured data across multiple storage technologies
- Implement and manage SQL and NoSQL databases for performance scalability and reliability
- Write clean efficient Python code for data processing automation and integration
- Deploy and manage vector databases to support AI/ML and semantic search use cases
- Collaborate with data scientists engineers and application teams to enable data-driven solutions
- Ensure data quality security and governance best practices
- Monitor and troubleshoot database performance and reliability issues
Required Skills/Qualifications:
- Strong knowledge of data modeling and database design principles
- Experience building and maintaining ETL and data pipeline solutions
- Solid understanding of data structures (trees graphs hash tables etc.)
- Hands-on experience with SQL and NoSQL databases
- Proficiency in Python for data engineering tasks
- Experience with vector databases (e.g. Pinecone Weaviate Chroma)
- Familiarity with at least one major cloud platform (GCP AWS or Azure)
- Strong problem-solving and analytical skills
- Good communication and collaboration abilities
Preferred Qualifications:
- Experience supporting AI/ML or GenAI workloads
- Knowledge of data governance and data security frameworks
- Experience with big data technologies or distributed systems
- DevOps/DataOps experience (CI/CD containerization orchestration)
View more
View less