Top Tech Jobs & Startup Jobs

Design and implement Snowflake-based governance and privacy solutions. Build automated privacy processes, data masking and JSON remediation, support data cleanup, optimize warehouse performance, develop ETL/ELT pipelines, and collaborate on scalable data architecture and automation.

Design and implement Snowflake-based governance and privacy solutions, automate privacy and masking processes, remediate JSON field privacy, support data cleanup, and build scalable ETL/ELT pipelines in collaboration with cross-functional teams.

Design, build, and maintain scalable data pipelines and Snowflake ingestion architectures. Use Python and SQL to transform, validate, and normalize large datasets, implement ETL and file ingestion workflows (CSV/JSON), monitor data quality, and collaborate with stakeholders to produce reliable datasets for analytics and reporting.

Design, build, and maintain scalable data pipelines and Snowflake ingestion architectures. Perform data transformation, normalization, and validation using Python and SQL. Ensure data quality, support ETL and file ingestion workflows, and collaborate with stakeholders for analytics-ready datasets.

Lead end-to-end delivery of production AI systems (RAG, agentic frameworks, LLMs), design evaluation and MLOps/LLMOps pipelines, build scalable inference and CI/CD, mentor engineers, and communicate with stakeholders to balance reliability, cost, latency, and business value.

Lead end-to-end delivery of production AI systems (RAG, agentic frameworks, LLM solutions), design evaluation and MLOps/LLMOps pipelines, build scalable inference and CI/CD, run structured experiments, identify model failures, design APIs/microservices, and mentor engineers while communicating with stakeholders and clients.

Lead end-to-end delivery of production AI systems (RAG, agentic frameworks, LLM solutions), design evaluation and MLOps/LLMOps pipelines, build scalable inference and CI/CD, run structured experiments, identify model failures, design APIs/microservices, and mentor engineers while advising stakeholders.

Lead end-to-end delivery of production AI systems (RAG, agentic frameworks, LLM solutions). Design evaluation frameworks, run structured experiments, build scalable inference and CI/CD, automate MLOps/LLMOps, design APIs/microservices, mentor engineers, and advise stakeholders on pragmatic AI decisions.

Lead design and implementation of AI-driven, agent-based data governance and privacy solutions. Build and maintain Snowflake and AWS workflows, enforce PII protection, audit data quality, collaborate with stakeholders, and mentor engineers while remaining hands-on.

Translate campaign requirements into segmentation logic and SQL, execute list pulls and ETL jobs, validate and reconcile campaign outputs, run statistical checks, use Tableau/Looker for validation, support SSIS workflows, and automate/secure campaign delivery processes.