Data Scientist
About The Position
TextNow is seeking an experienced Data Developer to design, develop, and maintain the company's data platform, enabling data-informed decisions. This role involves working on scalable and reliable frameworks for business and data products, interacting with various business functions, and influencing decision-making in a fast-growing startup. The position emphasizes impact at scale within an AI-first environment, where AI tools are expected to be leveraged throughout the development lifecycle to enhance velocity, code quality, and decision-making. The company provides AI-powered development tools to support this approach.
Requirements
- 3–5 years of experience working with data warehouse/data lake and ETL architectures (e.g., databricks, iceberg), cloud data warehouses (e.g., Snowflake), and hands-on experience in Python and SQL — preferably in companies with fast-growing and evolving data needs.
- At least 2 years of experience with Airflow and Spark.
- Developed scalable, real-time data pipelines using Python/Scala, SQL, and distributed processing frameworks such as Spark or Flink.
- Experience building data features using Snowflake, dbt, and Python to power real-time AI/ML inference.
- Respectfully candid, with the ability to initiate and drive tasks to completion.
- Highly organized, dependable, and follow a structured work approach.
Nice To Haves
- Exposure to the AWS platform and services such as EKS, MSK, and MWAA.
Responsibilities
- Own TextNow's data warehouse, data pipelines, and integration points between various business systems.
- Design, develop, and support new and existing batch and real-time data pipelines, and recommend improvements or modifications.
- Manage data models to enable AI/ML data products.
- Champion TextNow's data ecosystem by working with engineering and infrastructure teams to enable quicker access to data for insights and decision-making.
- Communicate data modeling and architecture processes to cross-functional teams.
- Identify, design, and implement process improvements across the data platform.
Benefits
- Free phone service
- Strong work life blend
- Flexible work arrangements (work-from-home, remote, or access to one of our office spaces)
- Employee stock options
- Unlimited vacation
- 12 paid holidays per year
- Competitive pay
- Health, dental, and vision benefits
- Short-term & long-term disability
- $750 annual wellness benefit or healthcare spending account
- RRSP matching (Canada) | 401(K) (USA)
- Parental leave for eligible employees
- Learning & Development opportunities
- Team events, company-wide off-sites, and more
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
