Job Description

We believe communication belongs to everyone. We exist to democratize phone service.  TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do.   We're the largest provider of free phone service in the nation. And we're just getting started.

Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere.

TextNow is looking for an experienced Data Engineer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's data platform , enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support all of TextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up.  

What You'll Do

Own TextNow's data warehouse, pipeline, and integration points between various business systems.  

Explore available technologies and develop solutions to build and improve our identity resolution solutions.

Design, Develop and support new and existing batch and real-time data pipelines and recommend improvements and modifications.  

Manage data to manage our AI/ML data products.  

Be a champion of TextNow's data ecosystem by working with engineering and infrastructure to implement data strategy for governance, security, privacy, quality, and retention that will satisfy business policies and requirements.  

Communicate strategies and processes around data modeling and architecture to cross-functional groups.  Identify, design, and implement internal process improvements.  

Who You Are

Have 3-8 years of experience working with data warehouse/data lake and ETL architectures, cloud data warehouses (Snowflake), and experience in Python and SQL, preferably at companies with fast-growing and evolving data needs.

Have at least 1-2+ years of experience with Airflow, Iceberg, Spark and Flink.

Exposure to AWS cloud data/ML services such as EKS, MWAA and Sagemaker.

Developed scalable data pipelines using Python/Scala, SQL, and distributed processing frameworks like Spark or Flink.

Experience driving technical vision for user identity resolution and data quality in previous roles is preferred.

Hands on experience working with building data features using Snowflake, dbt, and Python to power real-time AI/ML inference.

Respectfully candid with the ability to initiate and drive projects to completion.

Highly organized, structured work approach and dependable.

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