As a Data Integrations Engineer at Timely, you will be instrumental in managing the data pipeline between our clients and our scheduling technology. This role involves collaborating with various teams to ensure that client requirements for data integration are met and that they can effectively utilize our services.

Candidates should have experience with school and district data, knowledge of data ingestion and transformation methods, and proficiency in programming languages like Python and Typescript. Strong communication and collaboration skills are also vital for working with clients and cross-functional teams.

Ideal candidates will possess experience as educators, administrators, or in IT roles within educational settings. Previous data implementation experience, particularly in scheduling or programming, is highly desirable for this seasonal role.

The Data Integrations Engineer at Timely helps schools optimize their scheduling processes by ensuring that they can effectively integrate their data with our platform. This leads to better resource allocation and improved educational outcomes for students.

The seasonal Data Integrations Engineer position at Timely requires full-time availability from January to July, which aligns with the primary scheduling season in schools. Specific start and end dates can be negotiated.

Yes, the Data Integrations Engineer role at Timely is primarily remote, allowing you flexibility in your work environment while contributing to meaningful projects in the education sector.

At Timely, there are ample growth opportunities for Data Integrations Engineers who demonstrate relevant experience and performance. The startup environment allows for exploration into other data engineering roles and further responsibilities as the company expands.

In answering this question, focus on specific projects you've worked on, detailing the types of data you managed, the systems involved, and how your contributions impacted the overall scheduling process.

Describe a specific challenge you've faced in the past, the steps you took to diagnose the issue, and how you ultimately resolved it. Highlight communication with clients as key to successful troubleshooting.

Be prepared to discuss your proficiency in Python and Typescript, providing examples of data ingestion, transformation, or export tasks you've completed using these languages in a client-facing context.

Illustrate your ability to work effectively with different teams by sharing an experience where collaboration was key to a successful data integration project, emphasizing communication and team dynamics.

You should emphasize the importance of active listening and asking clarifying questions during client meetings, as well as conducting thorough requirement gathering to ensure that their scheduling needs are accurately captured.

Discuss your organizational skills and methods for prioritizing tasks, such as using project management tools or techniques, to efficiently manage multiple client integrations while maintaining quality.

Prepare a concise yet detailed account of a specific successful integration, including the challenges faced, your contributions, and the positive results achieved for the client and their scheduling process.

Discuss any tools or frameworks you've used for data transformation, highlighting how these tools have helped you optimize data processing in previous projects, especially within an educational context.

Highlight your communication skills by describing how you would break down complex concepts into simple terms, perhaps using analogies or visuals, to ensure the client understands the integration process.

Articulate your passion for making a difference in the educational sector, mentioning how your skills and experience align with Timely's mission, and expressing enthusiasm for working in a dynamic startup environment.