Software Engineer, Data Infrastructure
Hybrid (San Mateo HQ)$180k - $300kFull-timePosted 11mo ago
About the role
Experienced Data Platform Engineer to design, build, and maintain scalable data processing solutions and back-end systems for a data curation platform, partnering with researchers and engineers to bring new features to customers.
Responsibilities
- Design, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and security
- Architect, build, and deploy the back-end systems and services that power our data curation platform
- Partner with researchers and engineers to bring new features and research capabilities to our customers
- Ensure that our systems are reliable, secure, and worthy of our customers' trust
Qualifications
- 4+ years of experience in data engineering, including owning production systems end-to-end -- scalable processing (Spark, Flink), storage (HDFS, S3), lakes/warehouses (Snowflake, Hive), SQL, and workflow orchestration (Airflow, Dagster)
- Proficiency in Python, Scala, or Java
- Experience as a technical lead of a Data Engineering, Platform, or Infrastructure team
- Experience building ML/DL systems or data infrastructure that feeds large-scale model training
- High bar for design, correctness, and testing; scalable, reliable, and secure systems
- Low ego, high ownership; willingness to help teammates and see problems through to completion
Skills
Required:Data engineeringBig data processingStorage systemsProgramming languages
Benefits
- 100% covered health benefits (medical, vision, and dental)
- 401(k) plan with a generous 4% company match
- Unlimited PTO policy
- Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility
- Annual $2,000 wellness stipend
- Annual $1,000 learning and development stipend
- Daily lunches and snacks in office
- Relocation assistance for employees moving to the Bay Area
Last updated Oct 22, 2026. Interested? Apply on the company site.
About DatologyAI
Train Better Models, Faster and Smaller
DatologyAI automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.
Data CurationData QualityModel Trainingliquid-ai-recruiting-target
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