Jobs at Find Data Science Jobs

As a Senior Data Engineer, you will own data pipelines end-to-end across Snowflake, dbt, Dagster, Terraform, and AWS—from ingestion through warehouse transformation to production data products. You'll design and operate batch and streaming pipelines with rigorous testing, infrastructure-as-code discipline, and integrated data quality and observability.…See more The role requires strong software engineering fundamentals (Python, SQL, and advanced warehouse internals) and the ability to work alongside production AI agents, delegating work to them while critically verifying output and extending shared tooling. You'll debug production incidents independently, optimize warehouse performance and cost, and partner cross-functionally to turn business requirements into shipped, maintained systems.

Tiger Analytics seeks an experienced Lead Data Engineer to design, build, and optimize scalable batch and real-time data pipelines using Python, SQL, and distributed technologies like Spark and Kafka on cloud platforms (AWS, Azure, GCP). The role requires 10+ years of data/application engineering experience, 5+ years each with a major cloud platform, distributed processing frameworks, streaming applications, and cloud data warehouses (Snowflake, Databricks, Redshift).…See more Responsibilities include leading pipeline development, data modeling, performance optimization, technical mentorship, and establishing engineering best practices across code quality, testing, deployment, and data quality.

SHEIN is seeking a Senior Data Engineer to build and productionize GenAI/LLM solutions for data engineering workflows, including code assistance, metadata discovery, and knowledge access. The role focuses on developing RAG and agentic workflows, automating incident triage and log analysis, and integrating AI capabilities into internal developer tools and services.…See more You'll own scoped projects from problem definition through production support, requiring 3+ years of hands-on production experience with strong Python/SQL fundamentals, proven GenAI/LLM application development, and practical knowledge of databases, APIs, data pipelines, and distributed systems.