Senior Data Engineer

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 ofTextNow'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 infrastructure to manage our ML-based data products.
• Be a champion of TextNow's data ecosystem by working with data science, 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.
• Mentor junior data engineers and promote best practices in data engineering.

Who You Are

• Have 7-10 years of experience working with data warehouse/data lake and ETL architectures, cloud data warehouses (Redshift, Snowflake, RDS) ,and experience in Python and SQL, preferably at companies with fast-growing and evolving data needs.
• Worked on AWS cloud data services such as MSK, EKS and has familiarity with schemas, metadata catalogs.
• Have at least 5+ years of experience with open-source technologies such as Airflow, Iceberg,and Spark (including PySpark).
• Experience working with scalable microservices for realtime data pipelines.
• Experience with implementing ML and AI frameworks is a plus.
• Familiarity with software development methodologies and tools (e.g., Agile, Git, CI/CD).
• Hands on experience working with data governance, data quality solutions.
• Respectfully candid with the ability to initiate and drive projects to completion.
• Highly organized, structured work approach and dependable. Expected ability to communicate and collaborate on data engineering tasks with internal and external teams.