Data engineer
Core
Design, build, and deliver modern Data & AI solutions including scalable pipelines, ETL/ELT processes, and AI-powered applications (Agents, RAG, LLMs) for enterprise customers.
Role type
Data Engineer (AI/ML focus)
Builds
Scalable data pipelines, data platforms, ETL/ELT processes, and AI-powered solutions (Agents, RAG, LLM applications)
Domain
Enterprise Data & AI
Deliverable
production ML models (via careerplan.io/jobs/15-007-88-E60-data-engineer)
Required skills
Python, SQL, ETL/ELT pipeline development, Cloud platforms (Azure/AWS/GCP), Orchestration tools (Airflow/Data Factory/Glue), Data modeling (Warehouses/Lakehouses), API integration, Docker, LLMs, AI Agents, RAG, Generative AI platforms (OpenAI/Azure OpenAI/Claude/Bedrock/Vertex AI)
Preferred skills
Databricks, Spark, PySpark, Snowflake, BigQuery
Technologies
Azure, AWS, GCP, Airflow, Data Factory, Glue, dbt, Docker, OpenAI, Azure OpenAI, Claude, Bedrock, Vertex AI, Databricks, Spark, PySpark, Snowflake, BigQuery
Responsibilities
Design and maintain scalable data pipelines and platforms; Develop ETL/ELT processes and cloud-based data solutions; Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications; Integrate AI and Data solutions with enterprise systems using APIs; Develop data models, data warehouses, and lakehouse architectures; Monitor, optimize, and troubleshoot production environments
Seniority
Mid-level, hands-on IC