The Lead Data Engineer’s primary professional responsibilities will include, but not be limited to:

• Managing and supervising a team of engineers and data analysts
• Establishing a team culture and communication cadence which includes daily standup, code reviews, and ensuring timely customer responses
• Collaborating with the Customer Success Lead and team to ensure cohesion between engineering and implementation
• Leading estimates and work scope development for custom engineering work for customers 
• Mentoring, teaching, and aiding in the professional development of team members
• Implementing and maintaining Landing Zone for new and returning customers
• Leading the creation, troubleshooting, and maintenance of data processing pipelines in Apache Airflow (ETL work)
• Running reports and exports in edTech source systems as well as Landing Zone infrastructure to perform data validation checks and communicate those back to our customers
• Maintaining Landing Zone documentation to ensure it is always up-to-date and reflective of how integrations function
• Deploying code updates across the Landing Zone customer base
• Leading the deployment of infrastructure on the Google Cloud Platform for new customers
• Leading in the development of a historical/longitudinal data storage system (data warehouse)
• Responding to customer support tickets (this is a shared responsibility on our team)
• Working with internal systems such as JIRA, Asana, Slack to stay organized and ensure communication with team members
• Other duties as assigned 

Who You Are

You are a mission-driven individual and believe in working to close the educational opportunity gap through the use of data and technical solutions. You are excited about bringing order to disparate data, and writing data pipelines, and don’t mind being relentless in pursuing data accuracy. You’ve previously worked with SQL and Python and written code that interacts with APIs.

You are an optimistic problem-solver. You believe that together we can create real solutions that help the entire education sector move forward despite its complexity. You are excited to join a small but growing team working on an early-stage product and are looking forward to working on many different pieces of that product. You are open to feedback, bring your best every day, and are ready to grow in all areas of your work. You want to join a team of folks who share your vision for mission-driven work at the intersection of education and technology.  Finally, you know that sharing often is key to this work, and are ready to document everything that you do so that data people in schools everywhere can benefit. This is not a big data project; we have smaller amounts of data across many domains.  

About InnovateEDU

InnovateEDU is a non-profit whose mission is to eliminate the opportunity gap by accelerating innovation in standards-aligned, next generation learning models and tools that serve, inform, and enhance teaching and learning. InnovateEDU is committed to massively disrupting K-12 public education by focusing on the development of scalable tools and practices that leverage innovation, technology, and new human capital systems to improve education for all students and close the opportunity gap.

About the Project

InnovateEDU strives to create real tooling and projects that greatly assist a school/district/state in moving toward embracing data standards, a data-driven culture, and data interoperability. Landing Zone, a project at InnovateEDU, provides school districts with a comprehensive cloud based data infrastructure through the implementation of an Ed-Fi Operational Data Store (ODS), data mart for analytics in Google BigQuery, and the necessary data workflows in Apache Airflow to connect previously siloed, disparate educational data systems. Landing Zone simplifies the process a district must go through to implement an Ed-Fi ODS, connecting Ed-Fi certified data sources, and consuming non Ed-Fi certified data once it has been aligned to the standard. This project has a heavy focus on data engineering, backend work, dev ops, and using data analytics tools to verify data.