Job Specifications
Location: Austin Area - Hybrid
Candidates must be willing to work onsite at least 1 day a week. Candidates must already reside in Texas.
Job Description
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)
Benefits: Health insurance options, 401(k) retirement savings options, statutory benefits, and other benefits may be available to eligible employees in accordance with applicable law and company policy. Immigration and work authorization support, as well as professional development opportunities, may also be available for eligible roles, subject to business needs, client requirements, and applicable law.