Data Engineer – AI/ML Data Platform_Austin, TX (TX Locals Needed)_Only on W2

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.