Founding Data Engineer for OpenSearch AI Platform (Remote)

NeuroScale; United States; Hybrid; USD 100,000 - 200,000; Full time

Benefits offered by this job

Equity

Healthcare

PTO 14 days

Learning budget

Equipment: MacBook Pro

Flexible hours

Remote considered in VA/DC region

Job summary

Neuroscale is building an AI recruiting operating system. We are seeking a Founding Data Engineer to design, build, and operate data backbones for ingestion, transformation, indexing, storage, and retrieval at scale.

You will own end-to-end data pipelines, collaborate with backend, product, and AI teams, and shape the platform foundations in a fast-moving startup. You will work with PostgreSQL, OpenSearch, AWS, and Python to drive analytics, search, and AI-enabled experiences, while ensuring

Qualifications

• Strong experience in data engineering or backend/data platform engineering in production environments.
• Strong programming skills in Python; experience with TypeScript is a plus.
• 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.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines that support Neuroscale AI's core platform
• Build robust ingestion, transformation, enrichment, and indexing workflows across structured, semi-structured, and document-centric data
• Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling
• Design efficient data models, schemas, and storage patterns that support analytics, search, application workflows, and AI use cases
• Build secure cloud-native data infrastructure using AWS services such as S3, Lambda, Glue, Kinesis, and IAM
• Optimize PostgreSQL for advanced SQL workloads, replication, query performance, and data integrity
• Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant access to data
• Improve observability, lineage, testing, and reliability across the data platform
• Automate infrastructure provisioning and environment management using Terraform or CloudFormation
• Partner closely with backend, product, and AI teams to enable new data-driven capabilities and platform features
• Help define engineering standards, data platform best practices, and operational playbooks as the company scales

Skills

Python

PostgreSQL

OpenSearch

AWS

Terraform

CloudFormation

TypeScript

Data pipelines

Batch processing

Tools

OpenSearch/Elasticsearch

AWS

Terraform

CloudFormation

Job description

Neuroscale is building an AI recruiting operating system. We are seeking a Founding Data Engineer to design, build, and operate data backbones for ingestion, transformation, indexing, storage, and retrieval at scale.

You will own end-to-end data pipelines, collaborate with backend, product, and AI teams, and shape the platform foundations in a fast-moving startup. You will work with PostgreSQL, OpenSearch, AWS, and Python to drive analytics, search, and AI-enabled experiences, while ensuring