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Timely (timelyschools.com)

Data Integrations Engineer, Seasonal or Contract

Reposted 20 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
As a Data Integrations Engineer, manage the data pipeline between Timely and clients, collaborating with cross-functional teams and ensuring successful integrations.
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Who we are

Timely is your home for secondary master scheduling featuring AI optimization and support from a team of 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 drives staffing and budget efficiencies.

We founded Timely to build the tool we wish we'd had when we were in schools -- hoping to save school leaders hundreds of hours of wasted time while allowing district leaders to 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.

After completing a successful pilot during the 2022-23 school year, we have scaled our impact across the country. Through a lean approach, we've achieved impressive growth - 8.0x and 3.6x ARR increases in consecutive years - with extraordinary renewal rates (95% logo retention, 96% gross revenue retention). Today, Timely is serving schools across 14 states and Washington D.C. 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.

Top Skills

BigQuery
Python
Python Pandas
SQL
Typescript

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