Part-time Data Engineer

TNTP • AL: Alabama, AL

3d • $38 - $57 • Remote

About The Position

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.

Requirements

• Bachelor’s degree in computer science, data science, business, technology, or related field (or equivalent experience).
• 3+ years of hands‑on experience designing, building, and maintaining data pipelines and data platforms in production environments.
• Strong proficiency in SQL, Python or R for data transformation, analysis, and pipeline development.
• Experience designing and implementing cloud‑based data architectures using modern data warehouses such as Snowflake or Databricks.
• Experience working with relational and non‑relational data stores (e.g., SQL, NoSQL).
• Experience building data solutions that support analytics, business intelligence, and AI/ML use cases.
• Familiarity with data quality, reliability, and governance practices, including validation, lineage, and access controls.
• Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
• Strong problem‑solving and debugging skills, with the ability to diagnose issues in complex data systems.
• Ability to clearly communicate technical concepts and tradeoffs to technical and non‑technical audiences.

Nice To Haves

• Prior experience with Workday and Salesforce is highly preferred.
• Reporting certifications in either system is a plus.

Responsibilities

• 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.

Benefits

• TNTP offers a motivated team of dynamic colleagues, a collegial atmosphere that values professional development and valuable feedback, and the chance to impact the direction of a growing, mission-driven company that is committed to the success of our nation’s children.
• We also offer an inclusive environment where staff are encouraged to bring their whole selves to work each day.
• We also ensure that individuals with disabilities are provided with reasonable accommodation for the interview process.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level