Part-time Data Engineer

About the role

TNTP is the nation's preeminent education nonprofit that brings research, policy, and consulting together to meet the needs and aspirations of young people, families, communities, and the nation. We are educators, researchers, and innovators working to ensure every young person has the chance to reach their full potential, every educator and leader is set up for success, and every community has the resources necessary to connect young people to paths of opportunity. We work at every level of the PK-12 system, side by side with educators, system leaders, and communities across 41 states and more than 4,000 systems nationwide to reach ambitious goals for student success. Our vision pushes beyond school walls, catalyzing cross-sector collaboration to create pathways for young people to achieve academic, economic, and social mobility. Our Data and Analytics team is a strategic partner, leveraging a robust, cloud-based infrastructure, advanced data analytics pipeline, and modern data engineering to support analytics, AI, and operational decision‑making that empowers over 800 TNTP staff across 40+ contract sites nationwide. We are passionate about continuous improvement and fostering a culture of innovation, creativity, and professional growth. We are committed to delivering success for our clients and exceeding the evolving needs of our digitally interconnected organization. Learn more about us , what we do , and working here.

Responsibilities

• Specifically, you will:
• Design and develop scalable data pipelines that retrieve information from multiple sources, convert it to the required format, and store it in suitable data repositories optimized for performance, scalability, and efficiency
• Develop and optimize data transformations that prepare data for analytics, AI, and machine‑learning use cases, including feature engineering and workflow automation.
• Optimize data systems by tuning performance, resolving bottlenecks, and applying caching and indexing to improve queries
• Ensure data consistency, accuracy, and completeness by implementing validation, monitoring, and automated data quality checks within pipelines.
• Partner with analysts, data scientists, and business stakeholders to understand data requirements and deliver data products that support strategic and operational decision‑making.
• Collaborate with the Director of Data Architecture & Engineering to implement and evolve data modeling, architectural, and governance standards.
• Improve the quality, security, and usability of analytical models by partnering with data scientists and analysts on upstream data design.
• Contribute to the development and maintenance of data documentation, metadata, and data dictionaries.
• Support adoption of modern data tools and platforms by enabling best practices and shared patterns across teams.
• Participate in the implementation of data governance policies by embedding standards, controls, and lineage into data pipelines and platforms.
• WHAT YOU BRING
• We expect our Part-time Data Engineer to bring:
• Love of data. You have a deep curiosity about how data moves, scales, and behaves in complex systems. You love breaking down messy, ambiguous data problems into clean, reliable, well‑structured components that others can trust and build on.
• Continuous improvement. You have a builder's mindset and constantly look for opportunities to modernize. You seek better patterns, automate manual work, strengthen architecture, and improve reliability through thoughtful engineering practices.
• Commitment to data quality, reliability, and governance . You believe data reliability is engineered, not inspected. You design systems with built‑in quality checks, lineage, security, and governance, ensuring that data products meet defined contracts, SLAs, and organizational expectations.
• Security, privacy and equity orientation. You design solutions that honor privacy, protect sensitive information, and ensure data can be used responsibly across TNTP.
• Excellent documentation and communication skills. You document with clarity and communicate with clarity, making complex data systems usable, maintainable, and trustworthy for engineers, analysts, and stakeholders alike.

Requirements

• Bachelor's degree in computer science, data science, business

Benefits

Additional Information

Part-time Data Engineer Flexible Location This position is based in a home office anywhere in the U.S.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at tntp? Share your experience