Data Engineer

### About TextNow 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 are 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. ### Job Overview 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. ### 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. - 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. ### Salary $88,900 - $127,000 a year. Final compensation will be determined based on a number of factors, including skills, experience, location, and on-the-job performance. We encourage all qualified candidates to apply even if their compensation expectations are outside of the listed range.