FDE

Company Description Datacolor AI helps businesses convert data and AI initiatives into tangible results by combining clear strategy, robust data engineering, and modern data platforms. The company focuses on trusted AI, scalable architectures, and skilled teams to unlock value, improve efficiency, and deliver measurable outcomes across the data stack. Datacolor AI partners with organizations at different stages of data maturity, guiding them from initial discovery through implementation and optimization. Team members collaborate with diverse clients and technologies, contributing to solutions that have direct impact on business performance. To learn more about current roles, applicants can explore openings at https://datacolor.zohorecruit.com/jobs/Careers/.
Role Description The Full Data Engineer (FDE) at Datacolor AI is a full-time remote role focused on designing, building, and maintaining data pipelines and platforms that support analytics and AI solutions. In this position, the FDE collaborates with data scientists, analysts, and product teams to understand requirements, model data, and ensure reliable, scalable data flows across multiple systems. Day-to-day work includes developing and optimizing ETL/ELT processes, integrating data from various sources, and implementing best practices for data quality, governance, and security. The FDE also monitors performance, troubleshoots issues, and participates in code reviews and architectural discussions to improve the overall data stack. This role involves continuous learning, documentation, and contribution to standards that help deliver trusted, production-ready AI and analytics outcomes for clients.
Qualifications
Strong data engineering skills, including experience with ETL/ELT development, data pipeline orchestration, and working with large-scale data platforms (e.g., cloud data warehouses or data lakes).
Proficiency in programming and scripting for data work, such as Python, SQL, and related data processing frameworks or libraries.
Knowledge of modern data architectures and tools, including data modeling, integration patterns, and best practices for reliability and scalability.
Understanding of analytics and AI workflows, and ability to collaborate effectively with data scientists and analytics stakeholders.
Experience with data quality, governance, and security practices, including implementing validation, monitoring, and access controls.
Strong problem-solving and communication skills, with the ability to work independently in a remote, distributed environment.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Experience in consulting or client-facing technical roles, and familiarity with agile delivery methods, is a plus.

Work arrangement
No