TextNow
Data Developer
$108K–$185K
San Francisco, CA +1 · Full-time · Posted May 6, 2026
- Location
- San Francisco, CA
Open- Canada - Experience
- 3–5 years in data warehouse/data lake and ETL architectures; at least 2 years with Airflow and Spark.
About the job
Owns and develops TextNow’s data platform, including its warehouse, pipelines, integrations, and data models that support business decisions and AI/ML products.
What you'll do
- Own and maintain the data warehouse, pipelines, and integrations between business systems; build and improve batch and real-time pipelines.
- Manage data models for AI/ML data products and work with engineering and infrastructure teams to improve data access.
- Communicate data architecture and modeling processes across teams and implement data-platform improvements.
What they ask for
- 3–5 years of experience with data warehouse/data lake and ETL architectures, cloud data warehouses, Python, and SQL.
- At least 2 years of experience with Airflow and Spark.
- Experience building scalable real-time data pipelines using Python or 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.
Nice to have
- Exposure to AWS services such as EKS, MSK, and MWAA.
- Experience in companies with fast-growing and evolving data needs.
Pay
CAD 88,900 - 127,000 (base salary); USD 107,800 - 154,000 (base salary); USD 118,600 - 169,400 (base salary); USD 129,400 - 184,800 (base salary)
Tools
Databricks, Iceberg, Snowflake, Python, SQL, Airflow, Spark, Flink
AI focus
Manage data models and build data features for AI/ML products and real-time inference; actively use AI tools across engineering work, including design, implementation, testing, debugging, documentation, and operational analysis.
Model-written summary · the original posting is authoritative