The job, in the employer's words
What You'll Do
- 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.
Who You Are
- Have 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.
- Have at least 2 years of experience with Airflow and Spark.
- Have developed scalable, real-time data pipelines using Python/Scala, SQL, and distributed processing frameworks such as Spark or Flink.
- Have exposure to the AWS platform and services such as EKS, MSK, and MWAA (preferred).
- Have experience building data features using Snowflake, dbt, and Python to power real-time AI/ML inference.
- Are respectfully candid, with the ability to initiate and drive tasks to completion.
- Are highly organized, dependable, and follow a structured work approach.
Benefits mentioned
- This is a brief overview of the benefits that TextNow offers its employees. More complete details can be found in TextNow’s Benefit Guide and legal plan documents, which are available to employees on or shortly after their start date with TextNow. The benefits listed herein are for illustrative purposes only and may change from time-to-time in TextNow’s sole discretion.
- 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
- We travel a few times a year for various team events, company-wide off-sites, and more
- More information about our total rewards package will be available during the hiring process.
Requirements mentioned
- Have 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.
- Have at least 2 years of experience with Airflow and Spark.
- Have developed scalable, real-time data pipelines using Python/Scala, SQL, and distributed processing frameworks such as Spark or Flink.
- Have exposure to the AWS platform and services such as EKS, MSK, and MWAA (preferred).
- Have experience building data features using Snowflake, dbt, and Python to power real-time AI/ML inference.
- Are respectfully candid, with the ability to initiate and drive tasks to completion.
- Are highly organized, dependable, and follow a structured work approach.
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