Senior AI Data Engineer

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🕒 Junho 2

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Setton Industries Inc.

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1 - 10 funcionários

Fundada em 2024

🚀 Aeroespacial

Aerospace • Manufacturing • Consulting

A Setton Industries Inc. é uma empresa que capacita negócios por meio de consultoria inovadora em manufatura e soluções de modelagem de precisão. Com ampla experiência na indústria espacial e profundo conhecimento em manufatura, eles fornecem serviços que incluem a criação de instruções de trabalho, geração de treinamentos, rascunhos em 2D e modelagem em 3D. Sua organização pequena e ágil permite oferecer custos mais baixos aos clientes, enquanto se concentra na melhoria de métricas como taxa, eficiência, custo e qualidade.

Descrição

• Evaluate and improve data quality, completeness, and consistency across 30+ databases, applications, platforms, and APIs. • Design and build Scorpion's analytical data platform, creating a trusted source of truth for business and client data. • Develop and maintain scalable data pipelines that efficiently move data from operational systems into the analytical platform. • Help teams transition from querying production databases directly to using trusted analytical data sources. • Design data access patterns that enable AI agents and applications to quickly retrieve relevant client and business information. • Build secure, scalable solutions that deliver client context and business insights to internal applications and AI-powered experiences. • Define, monitor, and improve service level agreements (SLAs) for data freshness, availability, reliability, and performance. • Partner with engineering, product, and data science teams to establish data standards, governance practices, and data contracts. • Continuously improve the scalability, performance, and reliability of Scorpion's data ecosystem.

🎯 Requisitos

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent practical experience. • 7+ years of data engineering experience, including designing and operating production-scale analytical data platforms. • Experience building scalable data pipelines, analytical systems, and data platforms in modern cloud environments. • Experience integrating and unifying data from multiple systems into trusted, business-ready analytical platforms. • Experience supporting data access and consumption patterns for applications, analytics, machine learning, or AI-powered solutions. • Experience designing scalable data models that support analytics, reporting, and AI-driven applications. • Experience establishing data governance standards, data contracts, and documentation practices across teams. • Deep expertise with Databricks, Delta Lake, and Apache Spark for large-scale data processing, streaming ingestion, and data transformation. • Experience working with Snowflake, BigQuery, ClickHouse, Azure Synapse, or similar analytical database technologies. • Advanced SQL skills, including query optimization, execution planning, and performance tuning. • Strong Python skills for data pipeline development, automation, transformation, and integration with production systems. • Experience building and managing data pipelines using dbt, Airflow, Prefect, or similar orchestration and transformation tools. • Strong understanding of lakehouse architecture, data partitioning strategies, metadata management, and data security best practices.

🏖️ Benefícios

• 100% employer-paid medical, dental, and vision insurance • Flexible paid time off, so you can rest, relax, and recharge away from work • Paid parental leave • Paid cell phone and service • Remote office allowance • Professional development and development courses • Regular manager check-ins to drive performance and career growth through Lattice