About Brightfield
At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.
With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.
We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.
About the Role
Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.
You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.
What You’ll Do
- 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.
What You Bring
- 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.
Equal Opportunity Employer
Brightfield is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.
Top Skills
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
