Data Engineer

3 days ago

Seattle, Washington, United States Read AI Full time

About Read AI

At Read AI, we're revolutionizing productivity and collaboration for individuals and businesses by providing an AI copilot that integrates seamlessly with popular tools like Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce. With a strong focus on scalability and reliability, our team is responsible for designing and developing the backend services and APIs that power our platform.

The Role:

We're seeking a highly skilled Data Engineer to join our growing team. As a key member of our engineering team, you will collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs. Your contributions will directly impact the functionality, scalability, and reliability of our product. You will take ownership of critical components of our system, from conception to deployment and maintenance, and practice quality assurance best practices including unit and integration testing.

Responsibilities:

  • Design and develop scalable and reliable backend services and APIs that power our platform.
  • Take ownership of critical components of our system, from conception to deployment and maintenance.
  • Practice quality assurance best practices including unit and integration testing.
  • Optimize data processing pipelines and storage solutions.
  • Integrate third-party services and data sources seamlessly into our platform.
  • Monitor, troubleshoot, and resolve issues related to infrastructure and operations to ensure maximum uptime and reliability.
  • Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems.

Requirements:

  • Bachelor's degree or higher in Computer Science/Engineering, or 3+ years of relevant industry experience.
  • Proven experience in backend development, with proficiency in one or more programming languages such as Python, Java, or Go.
  • Strong understanding of distributed systems, microservices architecture, and cloud computing platforms (e.g., AWS, GCP).
  • Familiarity with relational and non-relational databases, along with expertise in data modeling and database management.
  • Excellent problem-solving skills with a pragmatic and results-driven approach.
  • Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Nice to Have:

  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with big data processing tools such as Flink and Spark.
  • Experience with Python, Pydantic, FastAPI, and SQLAlchemy.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Prior experience in a startup or fast-growing environment.

Compensation and Benefits:

As a Data Engineer at Read AI, you can expect a competitive salary range of $125,000 - $200,000 per year, plus equity and benefits. Our comprehensive benefits package includes low-deductible health plans, flexible time away, family leave programs, and more.

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