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Vetted Data Engineers in California
Pre-screened and vetted in California.
Director-level Data Platform Engineering Leader specializing in data governance and quality
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Adam Wermus
Senior Data Engineer & Render Tools Developer specializing in VFX and render farm pipelines
“Real-time simulation/physics engineer who optimized character effects and cloth for the "Infinity" game by implementing and profiling multiple ODE integrators, including pioneering the largely undocumented Parker-Sochacki method (optimized 5/7 sims; >30% speedup on a particle system). Also built SPH fluid solvers in Unity (C#) and created Grafana/Python Dash dashboards to analyze latency/throughput, with strong interest in applying math/physics and tooling to soccer/football gameplay.”
Senior Data Engineer specializing in payments and financial data platforms
Mid-level Software Engineer specializing in backend microservices, data pipelines, and QA
Mid-level Software Engineer specializing in data platforms and full-stack systems
Mid-level Data Engineer specializing in cloud lakehouse platforms (Azure/AWS/Snowflake)
Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms
Mid-level AI Data Engineer specializing in real-time streaming and LLM-powered fraud analytics
Mid-level Data Engineer specializing in analytics engineering, ML forecasting, and modern data stacks
Nikita Vivek Kolhe
Junior Data & Machine Learning Engineer specializing in MLOps and NLP
“ML/LLM practitioner with production experience building a healthcare review sentiment pipeline (RateMDs) using Hugging Face Transformers plus a LangChain+FAISS RAG layer for interactive querying. Also led orchestration-driven optimization of Nike’s Fusion ETL pipeline, improving runtime efficiency by 20%, and has experience translating ML outputs into Tableau dashboards for non-technical healthcare stakeholders (e.g., readmission risk).”
jahnavi Vasala
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
“Data engineer with Intuit experience owning end-to-end, high-volume financial data pipelines (API/S3 ingestion, Airflow orchestration, Spark/PySpark + SQL transforms, Snowflake marts). Strong focus on reliability and data quality—achieved 99.8% SLA and cut discrepancies by 35% using Great Expectations, reconciliation, schema versioning, and automated backfills; also built near real-time Kafka/API data services with CI/CD and observability.”
Vivek Reddy
Mid-level Data Scientist/Data Engineer specializing in ML pipelines, insurance and healthcare analytics
“Built a production assistive-vision iPhone app to help visually impaired users find grocery items, training a custom YOLO detector on 2,000+ self-collected/annotated images and deploying via CoreML with a cloud multimodal LLM for navigation instructions. Brings hands-on AWS serverless + ECS container deployment (CDK/GitHub Actions) and a disciplined approach to AI workflow reliability (state-machine design, offline evals, stress tests, logging/metrics), plus experience communicating model insights to non-technical stakeholders (MOTER Technologies).”
Principal Big Data & Software Engineer specializing in Spark/Scala and GCP data platforms