Database Engineer
Database EngineerAustin, TX (Hybrid)Long-term ContractWe 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 requirementsDevelop, optimize, and maintain ETL processes and data pipelines for reliable data ingestion and transformationWork with structured and unstructured data across multiple storage technologiesImplement and manage SQL and NoSQL databases for performance, scalability, and reliabilityWrite clean, efficient Python code for data processing, automation, and integrationDeploy and manage vector databases to support AI/ML and semantic search use casesCollaborate with data scientists, engineers, and application teams to enable data-driven solutionsEnsure data quality, security, and governance best practicesMonitor and troubleshoot database performance and reliability issuesRequired Skills/Qualifications:Strong knowledge of data modeling and database design principlesExperience building and maintaining ETL and data pipeline solutionsSolid understanding of data structures (trees, graphs, hash tables, etc.)Hands-on experience with SQL and NoSQL databasesProficiency in Python for data engineering tasksExperience 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 skillsGood communication and collaboration abilitiesPreferred Qualifications:Experience supporting AI/ML or GenAI workloadsKnowledge of data governance and data security frameworksExperience with big data technologies or distributed systemsDevOps/DataOps experience (CI/CD, containerization, orchestration)