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Remote, mid-level generalist data engineer in a metro location with broad cloud and scripting skills increases applicant competition.
Core data engineering and cloud skills are broadly transferable across industries.
Explicit 5+ years requirement plus mandatory cloud, IaC, Python, and Docker skills makes shortlisting strict.
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Own and enhance the data ingestion pipeline for large-scale audio data, integrating new sources and managing cloud infrastructure (GCP, Terraform).
Collaborate with AI Scientists and leadership to optimize dataset quality, cost, and scale supporting next-generation AI models.
Contribute to roadmap planning for data acquisition to power Speechify’s consumer and enterprise AI products.
5+ years of software development experience in industry.
BS/MS/PhD in Computer Science or related field.
Proficiency with bash/Python scripting on Linux and Docker, Infrastructure-as-Code concepts.
Professional experience with at least one major Cloud Provider (Google Cloud Platform preferred).
Experienced in operating and scaling cloud data ingestion infrastructure in a production environment.
Comfortable working cross-functionally with AI research teams to enhance data collection for AI training.
Familiarity with web crawlers and large-scale data processing workflows is a plus but not mandatory.