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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Developer - **Company:** Textnow Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $88,900.0 - $127,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Systems, Cloud Database, Software Quality, Data Transmissions, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Software Debugging, Programming Tools, Distributed Computing Environment, Python (Programming Language), Scala (Programming Language), SQL Databases, Snowflake, Apache Spark, Data Lakes, Apache Flink, Data Management, Data Pipelines, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-developer-textnow-inc-8344713 ## About the Role * 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 - preferably in companies with fast-growing and evolving data needs. * 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. ## Description 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 Developer 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 allTextNow'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. This role is about impact at scale. You'll shape how TextNow builds and operates its systems in an AI-first environment where intelligent tooling is embedded into everyday engineering practice. Using AI is not optional, it's expected. From design and architecture to implementation, testing, debugging, documentation, and operational analysis, you will actively leverage AI tools to increase velocity, improve code quality, and make better technical decisions. We provide a robust suite of AI-powered development tools and workflows to support you, and we expect you to continuously evolve how you use them to raise the bar for efficiency, clarity, and product excellence across the organization. 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)