Mid/Senior Data Engineer — Data Platforms & ERP Integration (Contract Role)

Familiarity with Oracle E-Business Suite table structures and data patterns (INV, PO, BOM, WIP modules)

Exposure to manufacturing domain concepts: bills of material, work orders, production routing, inventory management

Experience with dbt for data transformation and data product development

Hands-on experience with data governance and catalog tooling (Unity Catalog, AWS Glue/Datazone, Apache Atlas, or similar)

Multi-system data integration or ERP consolidation experience, reconciling different source schemas into a unified canonical model

Spec-driven or contract-driven development methodology, YAML specifications, schema validation, data contracts

Experience in medical device, pharmaceutical, or other regulated manufacturing environments

Databricks Asset Bundles and CI/CD automation for data platform deployments

Familiarity with Apache Iceberg or Delta Lake UniForm for open table format interoperability

Experience supporting AI/ML workflows in production: feature engineering, model serving integration, or AI-ready data product design

Building data foundations that power AI, analytics, and operational decision-making for manufacturing enterprises

Working directly with domain experts to understand how real businesses operate, not just pushing data through pipes.

Solving multi-system integration challenges where no two ERPs store data the same way

Designing platforms with governance, observability, and data quality built in from the outset.

Contributing to a reusable platform accelerator that will be deployed across multiple client engagements

Raising the bar for how data engineering is done: spec-driven, tested, version-controlled, and production-grade

Our Data Engineering practice works with clients across regulated industries to design and deliver modern data platforms. Current engagements include multi-ERP data consolidation on Databricks, AI-ready data foundations for manufacturing, and enterprise data governance implementations. The team operates with a high degree of autonomy, strong engineering discipline, and a bias toward simplicity over complexity.

By joining our team, you'll be part of a group that values precision, honest communication, and delivering work that stands up to scrutiny. Apply now and show us you've got what it takes to build data platforms that matter.