Forward Deployed Data Engineer

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.

Experience matters here. We judge it by what you've shipped and kept running, not by a number of years.

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.

A 30-minute conversation with the team about what you've shipped and what we're building.

A technical deep-dive on one system you owned, from the business problem to production.

A working session on a real client problem with the team.

References, then an offer. We aim to finish in two weeks.

Beware of recruitment fraud. All official correspondence comes from a lunon.ai email address. We will never ask you to share bank account information, cash a check, or purchase equipment as part of the hiring process.