Applied Machine Learning Engineer
Core
Design and build scalable data infrastructure, pipelines, and models to support operational and business data for a manufacturing facility.
Role type
Senior Data Engineer
Builds
Data Lakehouse, ETL pipelines, operational databases, and data models for manufacturing analytics and AI
Domain
Manufacturing / Industrial IoT / Data Engineering
Deliverable
infrastructure
Required skills
Data architecture design, ETL/ELT pipeline development, Data modeling, SQL, Relational databases, Cloud platforms, Scripting
Preferred skills
Time-series databases, Industrial data concepts, Unified Namespace/MQTT, Data Lakehouse platforms, ETL orchestration tooling, Controlled information environment experience
Technologies
PostgreSQL, SQL Server, InfluxDB, TimescaleDB, Delta Lake, Apache Iceberg, Airflow, Prefect, dbt, Python, AWS, Azure, GCP
Responsibilities
Design and own data architecture from operational stores to AI layer; Evaluate and select data platforms; Build reliable ETL pipelines for structured, time-series, and file data; Define data models for operational and analytical workloads; Diagnose and resolve data quality issues; Write technical documentation for architecture and pipelines.
Seniority
Senior, hands-on IC
