Data Engineer – Data Foundry Engineer

🕒 April 2

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TRACTIAN

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏢 Enterprise

⚡ Energy

Enterprise • Industrial • Energy

TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.

📋 Description

• Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data • Integrate and optimize ETL/ELT processes developed by MLE colleagues, improving performance, reliability, and long-term maintainability • Own the full dataset lifecycle, from raw ingestion through cleaning, validation, and delivery as training-ready data • Define and enforce data quality standards and governance practices across the Data Foundry team • Build and maintain labeling pipeline infrastructure for ML applications, working closely with the annotation team • Participate in architectural decisions, code reviews, and technical mentorship within the team • Document data sources, pipeline logic, and processing decisions for reproducibility and team alignment

🎯 Requirements

• 3+ years of experience in data engineering • Degree in Computer Science, Data Engineering, Computer Engineering, Information Systems, or equivalent technical background • Solid understanding of the ML training lifecycle and what properties make a dataset suitable for model training • Familiarity with layered data architecture patterns such as Medallion Architecture (Bronze/Silver/Gold) or Data Mesh • Proficiency in Python, with focus on data manipulation, pipeline development, and automation • Workflow orchestration using code-based tools such as Temporal, Airflow, Prefect, Dagster, or equivalent • Distributed data processing with Spark, Databricks, or similar • REST and gRPC API integration • Strong SQL skills, both for data modeling and query optimization • Experience with streaming systems and event-driven pipelines (Kafka, Kinesis, or equivalent)