Job Overview

  • Job Title Data Engineer
  • Hiring Organization Speechify
  • Remote Locations Worldwide
  • Job Type  Remote, Full-Time

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.

Job Responsibilities

  • 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.

Job Requirements

  •  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.

Preferred Qualifications:

  • 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.

Employee Benefits

  • A fast-growing environment where you can help shape the culture
  • An entrepreneurial crew that supports risk, intuition, and hustle
  • A hands-off approach so you can focus and do your best work
  • The opportunity to make an impact in a transformative industry
  • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

How To Apply

Click “Apply” below to fill in the application form!

More Information

  • Remote Job Location Anywhere
  • Salary Offer to be discussed
  • Experience Level Mid Level, Senior Level
  • Education Level Bachelor's Degree
  • Working Hours to be arranged (full time based )
  • Job Application Via Custom Application Page