Forward Deployed Data Engineer

Lunon is hiring a Forward Deployed Data Engineer to own the data side of client engagements, preparing trustworthy data and building the pipelines and datasets that support AI systems. The role works alongside a Forward Deployed AI Engineer and includes deploying reliable production systems and handing them off to client teams.

Responsibilities:

• Build the pipelines that pull data out of ERP, CRM, and accounting systems and keep it moving: ingestion, processing, and storage
• Put data quality and lineage controls in place, so anyone can trace a number back to where it came from
• Build and manage the training and evaluation datasets the models learn from and are judged on
• Run it in production at enterprise scale. Reliability is yours
• Document it and hand it off so the client's team can run it on their own

Requirements:

• You've built and run data pipelines in production, including when they broke
• You write Python and SQL well and have worked with a warehouse or lakehouse such as Snowflake, BigQuery, Databricks, or Postgres
• You've made sense of messy data from systems you didn't design
• You've built data for an ML or LLM system: training sets, eval sets, or retrieval
• You use AI coding tools every day and judge the result by the system and its output, not the language
• You've built on or integrated with an ERP, CRM, or accounting system
• You've built data quality or lineage tooling other people relied on
• You've done consulting, agency, or forward-deployed work and know how to be useful in someone else's building on day two