Software Engineer – Data Platform
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Job Description
Software Engineer building backend APIs and scalable data pipelines at AI infrastructure company. Join to design and scale systems powering data workflows and analytics.
Responsibilities:
- Build backend APIs and scalable data pipelines (Python, PySpark).
- Work with modern data lakehouse/warehouse tech (Iceberg, Delta Lake, Snowflake, Databricks).
- Orchestrate workflows (Airflow) and optimize big data frameworks.
- Manage infra as code (Terraform) and ensure reliability with monitoring/logging.
- Collaborate across teams and with customers to solve complex data challenges and design seamless integration solutions.
- Drive best practices in scalability, reliability, and cost efficiency.
Requirements:
- 5+ years in software/data engineering or infrastructure roles
- Strong Python skills (backend APIs a plus)
- Proven ability to build scalable data pipelines from scratch
- Hands-on with Apache Iceberg/Delta Lake + Snowflake/Databricks
- Workflow orchestration expertise (Airflow, Luigi, etc.)
- Big data frameworks experience (Spark, Hadoop)
- Familiar with monitoring/analytics tools (Prometheus, Grafana, ELK, Datadog)
- Skilled in designing scalable, reliable, cost-efficient systems
- Experience with large-scale distributed data architectures
- Thrives in fast-paced startup environments
- Excellent problem-solving, communication, and customer-facing skills
Benefits:
- Competitive salary, meaningful equity, and substantial bonus for top performers
- Flexible time off plus comprehensive health coverage for you and your family
- Support for research, publication, and deep technical exploration
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