Senior Data Ingestion & Infrastructure Engineer

Speechify; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity

Remote work

Flexible schedule

Impactful work

Career growth

Job summary

Speechify is hiring a Data Platform Engineer to own data collection and support model training. You will build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research.

The role involves scraping new audio sources, managing ingestion pipelines on GCP with Terraform, and collaborating with scientists to improve data quality, throughput, and cost for next‑generation models.

Qualifications

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments.
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
• Experience with web crawlers, large-scale data processing workflows is a plus.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

Responsibilities

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline.
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next‑generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next‑generation consumer and enterprise products.

Skills

bash/Python scripting

Web crawlers

Large-scale data processing

Education

BS/MS/PhD in Computer Science or related field

Tools

Docker

Terraform

GCP

Job description

Speechify is hiring a Data Platform Engineer to own data collection and support model training. You will build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research.

The role involves scraping new audio sources, managing ingestion pipelines on GCP with Terraform, and collaborating with scientists to improve data quality, throughput, and cost for next‑generation models.