Senior Data Integration Engineer

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Brightfield

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2006

🤝 B2B

💳 Fintech

AI • B2B • Fintech

Brightfield ist ein führender Anbieter von Marktintelligenz im Bereich Extended Workforce und nutzt seine KI-Plattform TDX, um globalen Unternehmen dabei zu helfen, Einsparpotenziale in den Ausgaben für die Contingent Workforce zu identifizieren und zu realisieren. Durch die Automatisierung zeitaufwändiger Aufgaben und durch fundierte Analysen von Statements of Work (SOW) ermöglicht Brightfield es Organisationen, Lieferantenverträge mit größerer Sicherheit zu verhandeln und branchenübergreifend – darunter im Gesundheitswesen, in der Technologie und in den Finanzdienstleistungen – einen signifikanten ROI zu erzielen.

Beschreibung

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools. • Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform. • Implement TDX APIs with customer and partner solutions. • Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform. • Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality. • Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices. • Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions. • Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

🎯 Anforderungen

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines. • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. • Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured). • Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats. • Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake). • Solid understanding of data modeling, ETL/ELT best practices, and data quality management. • Proven ability to troubleshoot complex data and integration issues across distributed systems. • Comfort working in a remote-first, highly collaborative environment with distributed teams. • Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments. • Familiarity with event-driven architectures, message queues, or streaming technologies. • Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines. • Knowledgeable in using AI to build and deploy data solutions. • Prior experience mentoring or leading technical initiatives across teams.

🏖️ Vorteile

• Equal Opportunity Employer • Committed to creating an inclusive environment