Data Engineer
Core
Design, build, and maintain scalable data infrastructure and pipelines to enable AI solutions for manufacturing operations.
Role type
Data Engineer
Builds
Production data pipelines, data warehouses/lakehouses, and reliable datasets for Data Scientists and ML systems.
Domain
Manufacturing / AI / Data Infrastructure
Deliverable
production ML models
Required skills
SQL, Python, data modeling, data warehousing, pipeline orchestration (Airflow, Dagster, Spark, Prefect), version control (Git), cloud platforms (AWS, Azure, GCP), data quality monitoring, CI/CD, distributed processing (Kafka, Kinesis), infrastructure-as-code (Terraform), system design.
Preferred skills
Cloud certifications, experience with Databricks, ClickHouse, Snowflake, DuckDB, disaster recovery procedures.
Responsibilities
Design and maintain data warehouse/lakehouse structures; integrate data from varied source systems; implement data quality validation and alerting; diagnose and resolve pipeline failures; build prototypes and proof-of-concept solutions; evaluate hardware and cloud solutions; contribute to system architecture.
Seniority
Mid-level, hands-on IC