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Data Integrations Engineer, Seasonal or Contract

Who we are

School scheduling is a hard problem, one that technology was meant to solve. Yet for decades, the master schedule has been built by hand, consuming educators’ valuable time while delivering a sub-optimal result for students. We started Timely to build the tool we wish we had when we were in schools. And today, we are changing how schools create high quality schedules for teachers and students. Timely combines groundbreaking AI technology with support from a team of expert school schedulers: saving schedulers’ time, and surfacing opportunities for leaders to unlock staff potential. Timely delivers optimized master schedules that are more efficient, accommodate diverse educator needs, and enable student access to courses and pathways that impact their lives.

Our district and school partners agree: scheduling is a key opportunity for educational innovation, and that Timely is the indispensable partner in addressing the challenge. We’re experiencing exciting growth as a company, while doubling down on our mission and people-centered approach to leveraging powerful technology. We serve districts and charter school organizations across 15+ states, growing (and renewing) at rates that lead the education technology industry. This growth has been driven by our strong product-market fit, deep understanding of education, and commitment to customer success.

About the role

Come work with us as a seasonal data integrations engineer, helping us manage the data pipeline between Timely and our clients.

As a data integrations engineer, you will operate across both engineering and customer success to ensure that customers can integrate with and leverage our scheduling technology for their needs. You’ll work closely with both the engineering and customer success teams to own a portfolio of clients who wish to integrate with Timely for their scheduling needs.

Roles & Responsibilities

  • Full-time or close to full-time availability during the primary scheduling season (January to July, exact start and end dates negotiable)

  • Partner with data integration engineers, customer success, SIS representatives and district IT staff to plan out requirements for integration of a customer.

  • Design and document the architecture, scope and requirements for an integration with a single SIS - can be expanded with relevant experience.

  • Own the ingestion, transformation, and export of data between district systems and the Timely data model and product.

  • Partner with customer success, SIS representatives and district IT staff to plan out requirements for integration of a customer.

  • Meet with customers as needed to execute integration workflows and troubleshoot any challenges. Some travel may be required.

What we look for in candidates

  • Experience working with school and district data as an educator, administrator or IT staff member. We’re particularly excited about candidates with school scheduling and programming experience.

  • Prior experience successfully implementing data ingestion, transformation, cleaning and export through a variety of means (ranging from CSV-based integrations to service APIs).

  • Experience with at least 1 programming language (we predominantly use Python & Typescript) and 1+ years of experience with data query & analysis technologies (SQL, Python Pandas, Bigquery, etc.) in a client-facing capacity. Exposure to these technologies in production environments.

  • Demonstrated experience leveraging communication and collaboration skills to work with customers and cross-functional team members.

  • Ability & excitement to step into an early (seed-stage) startup role, with urgency of execution, breadth of responsibilities and opportunities for growth that come with it.

  • This role is remote, with potential for expansion to other data engineering roles with relevant experience.

Average salary estimate

$90000 / YEARLY (est.)
min
max
$60000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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DATE POSTED
October 2, 2025
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