Data Engineer at TextNow
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

06 May, 25

Salary

0.0

Posted On

07 Feb, 25

Experience

2 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that’s because we’re made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We’re the largest provider of free phone service in the nation. And we’re just getting started.
Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere.
TextNow is looking for an experienced Data Engineer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow’s data platform , enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support all of TextNow’s business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up.

Responsibilities
  • Own TextNow’s data warehouse, pipeline, and integration points between various business systems.
  • Explore available technologies and develop solutions to build and improve our identity resolution solutions.
  • Design, Develop and support new and existing batch and real-time data pipelines and recommend improvements and modifications.
  • Manage data to manage our AI/ML data products.
  • Be a champion of TextNow’s data ecosystem by working with engineering and infrastructure to implement data strategy for governance, security, privacy, quality, and retention that will satisfy business policies and requirements.
  • Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.
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