Data Engineer

• The role
• Everything else we build sits on the foundation you lay. You move data out of ERPs, MES systems, CRMs, and whatever else a global manufacturer has accumulated over thirty years, land it somewhere durable, model it so people can reason about it, and put quality checks in front of it so problems get caught before anyone downstream inherits them.

• What you will own
• Ingestion from enterprise source systems, including the ones with no API and no documentation
• Transformation and modeling: dimensional models, canonical models, and the semantic layer analysts and agents both read from
• Data quality: profiling, rules, thresholds, and the alerting that makes a break visible the day it happens
• Orchestration, scheduling, and the reliability of the pipelines you own
• Documentation and lineage that hold up in a governance review
• Contributions to DQE™, our data quality engine

• Who you are
• You have untangled a real enterprise source system and lived to describe it
• You care about correctness more than cleverness, and you test what you build
• You can sit with a business owner, ask what a field actually means, and keep asking until the answer is real
• You automate the thing you would otherwise do twice
• You are an AI power user who puts coding agents to work on migration and modeling tasks

Qualifications

• 5 or more years in data engineering or analytics engineering
• U.S. citizenship, required due to client engagements subject to U.S. export control regulations
• Expert SQL and strong Python
• Production experience with a modern data platform such as Snowflake or Databricks, and with a cloud provider
• Pipeline orchestration and transformation tooling, and version control discipline
• Experience delivering in enterprise environments

Preferred

• ERP data models: SAP, Oracle, Microsoft Dynamics, or comparable
• Manufacturing, supply chain, or aerospace and defense data
• Data governance, master data, or data quality program experience
• Streaming or near-real-time pipelines
• Consulting or client-facing delivery background