Senior Data Platform Engineer - Build Scalable Data Pipelines

datologyai; San Mateo; On-site; PHP 11,285,000 - 18,809,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Unlimited PTO

Parental leave & WFH flexibility

Wellness stipend

Learning stipend

Daily lunches

Job summary

DatologyAI is seeking a Data Platform Engineer to join our core Engineering team in a senior role. You will work with founders to drive product direction, lead development of the data platform, and build scalable data processing that underpins model training and data curation at scale.

You will collaborate with researchers and engineers to deliver features, ensure system reliability and security, and participate in shaping a fast-growing data-centric product. Visa sponsorship is provided.

Qualifications

• 4+ years in data engineering; ownership of production end-to-end pipelines.
• Proficiency with scalable processing (Spark, Flink) and storage (HDFS, S3).
• Experience with data lakes/warehouses (Snowflake, Hive) and SQL.
• Experience with workflow orchestration (Airflow, Dagster).
• Proficiency in Python, Scala, or Java.
• Experience leading Data Eng/Platform teams.
• Experience building ML/DL data infrastructure for large-scale training.

Responsibilities

• Design, build and maintain highly scalable data processing solutions with reliability and security.
• Architect, build, and deploy back-end systems powering the data curation platform.
• Collaborate with researchers and engineers to bring new features to customers.
• Ensure systems are reliable, secure, and trusted by customers.

Job description

DatologyAI is seeking a Data Platform Engineer to join our core Engineering team in a senior role. You will work with founders to drive product direction, lead development of the data platform, and build scalable data processing that underpins model training and data curation at scale.

You will collaborate with researchers and engineers to deliver features, ensure system reliability and security, and participate in shaping a fast-growing data-centric product. Visa sponsorship is provided.