Data Engineer (Remote-US)

DataKind is seeking a Data Engineer to lead the technical work that makes our UDTS platform genuinely useful to the institutions we serve. This role sits at the intersection of data architecture, engineering, and client partnership, enabling educational institutions to use AI and advanced analytics to improve student outcomes equitably.

Requirements

• Degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent professional experience).
• At least 4 years of professional experience in data engineering, including experience leading client-facing solution architecture or infrastructure design (e.g., solutions engineering, implementation engineering).
• Advanced proficiency in Python, SQL, and one or more cloud platforms (preferrably GCP).
• Demonstrated experience with Databricks, or comparable data intelligence platforms.
• Deep understanding of ETL/ELT pipelines, data warehousing, and data orchestration tools.
• Knowledge of data governance, privacy, and security frameworks in regulated or educational environments.
• Proven ability to collaborate effectively with data scientists, software engineers, data engineers, data analysts, and product managers.
• Solid understanding of Software Engineering principles and the data science project life-cycle
• Excellent communication skills — including the ability to translate complex technical topics for non-technical audiences and to work productively with data practitioners at partner institutions.

Benefits

• Flexible PTO (with a minimum of 20 vacation days encouraged annually)
• Comprehensive Wellness Support
• 401(k) plan with 5% employer matching
• Professional development funding each year
• Mentorship and advancement opportunities
• 12 weeks paid parental leave when needed
• 100% employer-paid medical, vision, and dental benefits for employees