Data Engineer, Speechify
AI text-to-speech reader
Job no longer available
AI text-to-speech reader
101-200 employees
Job no longer available
101-200 employees
Company mission
To make sure that reading is never a barrier to learning.
Role
Who you are
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Data Engineer or a similar role in a data-intensive environment
- Strong proficiency in SQL for data extraction, transformation, and loading
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake) and cloud-based data platforms (e.g., AWS, Azure, GCP)
- Proficiency in programming languages such as Python or Java for building data pipelines
- Experience with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow)
- Knowledge of data modeling concepts and database design
- Familiarity with version control systems (e.g., Git) and collaborative development practices
- Excellent problem-solving and communication skills
- Ability to work collaboratively in a fast-paced, team-oriented environment
- Strong attention to detail and commitment to data accuracy and quality
Desirable
- Advanced degree in Computer Science, Data Science, or a related field
- Experience with big data technologies (e.g., Hadoop, Spark)
- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)
- Familiarity with data security and compliance standards (e.g., GDPR, HIPAA)
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Apache Flink)
- Certifications in relevant data engineering or cloud platforms
What the job involves
- As a Data Engineer at Speechify, you will play a crucial role in designing, developing, and maintaining our data infrastructure
- You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability and accessibility of high-quality data for various business needs
- Design, implement, and maintain scalable data pipelines to ingest, transform, and load data from various sources into our data warehouse
- Collaborate with data scientists and analysts to understand their data requirements and ensure data availability and quality
- Optimize and tune existing data pipelines for performance and efficiency
- Build and maintain ETL (Extract, Transform, Load) processes to ensure data is transformed and loaded accurately and on schedule
- Troubleshoot and resolve data pipeline issues and performance bottlenecks
- Implement data governance and data quality standards to ensure data accuracy and consistency
- Monitor and maintain data storage solutions, such as data warehouses, data lakes, and databases
- Stay up-to-date with industry best practices and emerging technologies in data engineering
Our take
Speechify’s AI-powered app and browser extension make it easy for users to listen to emails, text documents, e-books, PDFs, online blogs, and articles in a variety of voices, languages, and speeds.
Text-to-speech technology has been fraught with performance issues for a long time, though in recent years this has begun to change for the better. Products like Amazon Polly, Linguatech Voice Reader, and Natural Reader have made real inroads on this front. What may set Speechify apart, however, is the insight of founder Cliff Weitzman, who built the app to help people with dyslexia, ADHD, vision impairments and other learning difficulties.
The company’s future growth may depend largely on who it targets and how it does so. Thus far, it’s been mostly branded as a learning assistant, lauded by parents, teachers and adult users with reading disabilities. This niche approach is interesting and offers a potentially large market in the education sector. However, the technology also has mainstream appeal, with the potential to be branded as a productivity booster or multi-tasking assistant.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Leadership
Cliff Weitzman
(Founder & CEO)Having studied at Brown University, Cliff founded YumPass, CellArmor, and BoardBrake before working as a Software Engineer at WeMap and StarterPack. In 2018, they founded Speechify, serving as the CEO since.
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