Senior Data Engineer - Agentic AI Engineering

New
B
Boomi AI/ML Data Engineering
Remote - United States of America (All States)Full-TimeSenior
Salary138,862 - 173,578 USD per year
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Job Details

Experience
5+ years
Required Skills
AWSPythonSQLGCPKafkaSnowflakeAirflowAzureData engineeringdbt

Requirements

  • 5+ years of experience building and operating large-scale data platforms as a Data Engineer.
  • Strong programming expertise in Python and SQL for developing scalable and efficient data solutions.
  • Hands-on experience designing batch and real-time data pipelines, including streaming systems like Kafka or Kinesis.
  • Experience with modern data platforms and cloud environments (AWS, Azure, or GCP), including tools like Snowflake.
  • Strong understanding of LLM/AI data workflows, including embeddings, RAG pipelines, evaluation datasets, and vector databases (Pinecone, Milvus).
  • Experience with DataOps/MLOps tools such as Airflow, dbt, and MLflow for orchestration and lifecycle management.
  • Strong knowledge of data quality, governance, and security, including PII handling, access controls, lineage, and ensuring data reliability.

Responsibilities

  • Architect and build scalable, secure, and observable data infrastructure to power LLM-based agents, multi-agent systems, and tool-using AI workflows.
  • Design and operate robust batch and real-time data pipelines supporting embeddings, RAG systems, and agent memory frameworks.
  • Develop and manage vector database solutions to enable low-latency retrieval and contextual intelligence for AI applications.
  • Build data frameworks for training, evaluation, benchmarking, and continuous improvement of agentic AI systems.
  • Implement strong data governance, quality controls, lineage tracking, and PII/security compliance across AI data platforms.
  • Collaborate with AI/ML, platform, and DevOps teams to productionize experimental AI prototypes into enterprise-grade solutions.
  • Optimize data systems for performance, scalability, reliability, and cost efficiency across cloud environments.
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138,862 - 173,578 USD per year
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