[Remote] Senior Data Integration Engineer
Note: The job is a remote job and is open to candidates in USA. Brightfield is revolutionizing workforce management through its AI-powered platform, TDX. The Senior Data Integration Engineer will design, build, and scale data pipelines and integrations, focusing on integrating TDX with customer data and workflows.
Responsibilities
• 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
Skills
• 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
Company Overview
• Brightfield provides consulting and research services intended to help businesses manage human capital. It was founded in 2006, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.brightfield.com/.
Apply Now
Apply Now
Responsibilities
• 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
Skills
• 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
Company Overview
• Brightfield provides consulting and research services intended to help businesses manage human capital. It was founded in 2006, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.brightfield.com/.
Apply Now
Apply Now