Speechify Inc: Senior Data Engineer - AI Team

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Overview

Speechify Inc is actively seeking a Senior Data Engineer to join their AI team. This full-time position allows for remote work from anywhere in the world. The company’s headquarters is located in Florida, and they are recognized for their progressive approach toward data solutions and artificial intelligence. In this role, you will focus on designing, developing, and maintaining scalable data pipelines that facilitate the effective management of large datasets.

Key Responsibilities

As a Senior Data Engineer, your day-to-day responsibilities will revolve around:

  • Designing, developing, and maintaining scalable data pipelines and workflows to ingest, transform, and store vast amounts of data efficiently.

  • Collaborating with data scientists, analysts, and software engineers to identify data requirements and deliver tailored solutions that meet those needs.

  • Optimizing existing data processes for better performance, scalability, and cost-efficiency while innovating new data solutions for the organization.

  • Implementing data quality checks, validation processes, and monitoring systems to ensure the accuracy and reliability of the data being utilized.

  • Managing and developing data warehouses, databases, and other storage solutions that align with organizational goals.

  • Ensuring compliance with data governance and security policies to protect sensitive information.

  • Keeping abreast of emerging technologies and industry best practices in data engineering and applying them appropriately in your work.

Required Qualifications

To be considered for the Senior Data Engineer role at Speechify Inc, candidates should possess:

  • A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Proven experience in a Data Engineer position or a similar role, along with a solid understanding of ETL processes.

  • Proficiency in programming languages such as Python and familiarity with SQL for effective data manipulation.



  • Experience with Big data tools, such as Data Lakes and Delta Lakes, to handle large-scale data.

  • Familiarity with cloud infrastructure, including options like Bare-Metal and Hybrid environments, is essential for this position.

Good to Have Skills

While not mandatory, possessing the following skills will set candidates apart:

  • Experience working with media files, particularly in transformation processes.

  • Familiarity or experience with the Torch dataset could be advantageous for this role.

Salary Information

Unfortunately, specific salary details for the position are not provided in the job listing. However, salaries for similar roles in the tech industry can be expected to be competitive, particularly for senior-level positions, and generally reflect the demand within remote working environments.

Additional Information

This opportunity represents a significant chance for professionals aiming to progress their careers within the data engineering landscape of AI technologies. Given the remote nature of the position, applicants can work from any location, which adds flexibility and convenience. As part of the application process, potential candidates may be required to demonstrate their relevant skills in a practical context through assessments or interviews. Staying updated with the latest data engineering tools and methodologies will not only improve your chances of securing the position but will also be beneficial in executing your responsibilities if hired.

In summary, the Senior Data Engineer role at Speechify Inc provides a comprehensive platform to engage with cutting-edge technology while collaborating with experts in the field. This is an exciting opportunity for those looking to make a significant impact through data in AI applications.



This job offer was originally published on weworkremotely.com

Speechify Inc

Anywhere in the World

Data analysis

Full-time

January 14, 2025

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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.