Timely
Data Integrations Engineer, Seasonal or Contract
🇺🇸 Remote - US
🕑 Part-Time
💰 TBD
💻 Data Science
🗓️ February 18th, 2025
BigQuery
Pandas
Python
Edtech.com's Summary
Timely is hiring a Data Integrations Engineer. This role involves managing the data pipeline between Timely and its clients, operating across engineering and customer success to facilitate integration and leverage of scheduling technology. The engineer will collaborate closely with both internal teams and clients, owning a portfolio of clients and ensuring smooth data integration.
Highlights
- Manage data pipeline integrations with clients.
- Collaborate with engineering and customer success teams.
- Experience with Python, Typescript, SQL, and other data technologies required.
- Compensation discussed upon further inquiry.
- Relevant experience in school and district data management preferred.
- Role requires strong communication and collaboration skills.
- Opportunity for growth in a startup environment.
- Position may entail some travel for client meetings.
- Remote work environment.
Data Integrations Engineer, Seasonal or Contract Full Description
USA (Remote)
Employment Type
Part time
Location Type
Remote
Department
Engineering & Product
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 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.
