Brightfield

Senior Data Integration Engineer

Brightfield

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AWSCloudDistributed SystemsETLPythonSQL

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Equal Opportunity Employer
  • Committed to creating an inclusive environment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata integrationbackend software engineeringproduction data pipelinesPythonSQLREST APIsETLdata modelingdata quality management
Soft Skills
troubleshootingcollaborationmentoringleadership
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information Systems