Founding Data Engineer • PG/Opensearch

The role

The Founding Data Engineer will build the data backbone of the platform. This includes designing and maintaining scalable data pipelines, ingestion workflows, and search infrastructure using PostgreSQL, OpenSearch, and AWS.

What you will do

• Design, build, and maintain scalable batch and streaming data pipelines
• Build ingestion, transformation, enrichment, and indexing workflows
• Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python
• Design efficient data models, schemas, and storage patterns
• Build secure cloud-native data infrastructure using AWS services
• Optimize PostgreSQL for SQL workloads, replication, query performance, and data integrity
• Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch
• Improve observability, lineage, testing, and reliability
• Automate infrastructure provisioning and environment management using Terraform or CloudFormation
• Partner with backend, product, and AI teams to enable new capabilities

Required qualifications

• Strong experience in data engineering or backend/data platform engineering in production environments
• Strong programming skills in Python
• Deep hands-on experience with PostgreSQL, including advanced SQL, schema design, query tuning, indexes, sharding, replication, and modeling
• Strong experience with OpenSearch/Elasticsearch, including indexing strategy, search performance, relevance tuning, and distributed query operations at very large scale
• Experience building and maintaining ETL/ELT pipelines and data processing workflows for large-scale datasets
• Hands-on experience with AWS data and infrastructure services, especially S3, Lambda, Glue, Kinesis, and IAM
• Experience designing reliable cloud-native data architectures and secure data movement patterns
• Experience with Infrastructure as Code, ideally Terraform or CloudFormation
• Strong understanding of distributed systems, production operations, fault tolerance, and data reliability
• Ability to work with high ownership, move quickly, and make sound engineering decisions in a startup environment

Nice to have

• Experience with Typescript
• Experience with Kafka, event-driven systems, or other streaming architectures
• Experience supporting vector search, semantic retrieval, or AI/ML data pipelines
• Experience with workflow orchestration, async processing, and integration-heavy platforms
• Experience with containerized environments, CI/CD pipelines, and production monitoring
• Experience working on document-centric or AI-enabled platforms

Benefits

• Medical, dental, and vision coverage
• 14 days PTO accrued annually
• $2,000+ per year for courses, conferences, books, and communities
• New MacBook Pro, monitor, and a monthly tools budget
• Flexible hours
• Clear, fast-track path to Engineering Lead as the team scales

About the company

Neuroscale is building the AI recruiting operating system, a unified platform for talent organizations. The company is backed by top operators and investors and is supported by the NVIDIA Inception Program, the HPE Unleash AI Program, and a DoD SBIR Phase II award.