TextNow
Data Scientist
$84K–$144K
San Francisco, CA +1 · Full-time · Posted Sep 25, 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
Own and improve TextNow’s data platform, building reliable batch and real-time pipelines and data models that support business decisions and AI/ML products.
What you'll do
- Own the data warehouse, data pipelines, and integrations between business systems; build and support batch and real-time pipelines.
- Manage data models for AI/ML products and work with engineering and infrastructure teams to improve data access.
- Communicate data architecture and modeling processes, and implement data-platform improvements.
What they ask for
- 3–5 years working 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 developing scalable real-time pipelines with 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.
Pay
USD $84,000 -$120,000 base salary; USD $92,400 - $132,000 base salary; USD $100,800 -$144,000 base salary
Tools
databricks, iceberg, Snowflake, Python, SQL, Airflow, Spark, Flink
AI focus
Manage data models and build data features to power AI/ML products and real-time inference; actively use AI tools across design, implementation, testing, debugging, documentation, and operational analysis.
Model-written summary · the original posting is authoritative