Senior Data Engineer

Summary

Join TextNow, the nation's largest free phone service provider, in our mission to democratize communication. As a Data Engineer, you will own the design, development, and maintenance of our data platform, enabling data-informed decisions. You'll build scalable and reliable frameworks supporting TextNow's business and data products, collaborating across functional areas. This role offers the chance to influence decision-making in a fast-growing startup. You will manage our data warehouse, pipelines, and integrations, while also championing data governance, security, and quality. The ideal candidate possesses extensive experience in data warehousing, cloud technologies, and big data processing.

Requirements

• Have 5-8 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
• Developed scalable data pipelines using Python/Scala, SQL, and distributed processing frameworks like Spark or Flink
• Respectfully candid with the ability to initiate and drive projects to completion
• Highly organized, structured work approach and dependable

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• Strong work life blend
• Flexible work arrangements (wfh, remote, or access to one of our office spaces)
• Employee Stock Options
• Unlimited vacation
• Competitive pay and benefits
• Parental leave
• Benefits for both physical and mental well being (wellness credit and L&D credit)
• We travel a few times a year for various team events, company wide off-sites, and more