Fast Facts

Join Timely as a seasonal Data Integrations Engineer, where you'll manage data pipelines and facilitate integrations between our scheduling technology and client systems. Ideal for individuals experienced in school data and programming, this role offers the chance to make a significant impact on educational scheduling processes.

Responsibilities: Collaborate with clients and teams to plan data integration, design architecture, and manage data ingestion and export processes while addressing any integration challenges.

Skills: Experience with school district data, data ingestion/transformation, proficiency in Python or Typescript, and familiarity with SQL and data analysis tools.

Qualifications: Background in education, administration, or IT with school scheduling experience preferred, along with proven communication and collaboration skills.

Location: This position is remote, allowing flexibility, with potential travel required for client interactions.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $70,000 - $100,000.

Who we are

We founded Timely to build the tool we wish we'd had when we were in schools -- hoping to save hundreds of hours of wasted time while helping schools develop better schedules that enable their academic, budget and staffing priorities. Our solution addresses the needs of school-based employees who toil away building schedules and central office employees who need visibility into them.

The school schedule reflects values and priorities. With 75 to 90% of a district budget dedicated to personnel, there are few questions more paramount than how your staff and students spend their time every day, what positions you need, how many teachers you will hire, and how students will interact with them. Strategic resource allocation across schools, proper access to core courses and electives, and dedicated support to sub-groups begins with the development of a school schedule.

Timely is your home for secondary scheduling featuring AI optimization and support from a team of former educators who know and have lived scheduling. Not only does Timely save time and headache, it unlocks resources so district and charter leaders can build a schedule that aligns with their vision.

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 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.