Data Scientist

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.

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.