TextNow is hiring a
Senior Data Engineer, Remote - Canada, United States

Summary

TextNow is seeking an experienced Data Engineer to design, develop, and maintain their data platform. The role requires 7-10 years of experience in data warehousing/data lake and ETL architectures, cloud data warehouses (Redshift, Snowflake, RDS), Python and SQL, AWS cloud data services, open-source technologies such as Airflow, Iceberg, and Spark, scalable microservices for realtime data pipelines, ML and AI frameworks, software development methodologies and tools, data governance, data quality solutions, and a respectful, candid approach to driving projects. TextNow offers strong work-life blend, flexible work arrangements, employee stock options, unlimited vacation, competitive pay and benefits, parental leave, benefits for physical and mental wellbeing, wellness credit and L&D credit, team events, company-wide off-sites, and diversity and inclusion.

Requirements

• Have 7-10 years of experience working with data warehouse/data lake and ETL architectures
• 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

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 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

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