Founding Data Engineer • PG/Opensearch
Neuroscale AI7 months ago
Remote, United StatesStaff+
Base Salary
$100k - $200k/yr
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines.
- Build ingestion, transformation, enrichment, and indexing workflows for structured, semi-structured, and document-centric data.
- Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling.
- Design data models, schemas, and storage patterns for analytics, search, application workflows, and AI use cases.
- Build secure cloud-native infrastructure using AWS services including S3, Lambda, Glue, Kinesis, and IAM.
- Optimize PostgreSQL through advanced SQL, replication, query performance, data integrity, sharding, and modeling.
- Design and manage OpenSearch/Elasticsearch search and retrieval pipelines, including relevance and distributed query operations.
- Improve observability, lineage, testing, and reliability across the data platform.
- Automate infrastructure provisioning and environment management with Terraform or CloudFormation.
- Partner with backend, product, and AI teams to enable data-driven capabilities and platform features.
- Define engineering standards, data platform practices, and operational playbooks as the company scales.
Requirements
- Strong production experience in data engineering or backend/data platform engineering.
- Strong Python programming skills; TypeScript experience is a plus.
- Deep hands-on PostgreSQL experience, including advanced SQL, schema design, query tuning, indexes, sharding, replication, and data modeling.
- Strong OpenSearch/Elasticsearch experience, including indexing strategy, search performance, relevance tuning, and distributed query operations at very large scale.
- Experience building and maintaining ETL/ELT pipelines and large-scale data processing workflows.
- 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 take high ownership, move quickly, and make sound engineering decisions in a startup environment.
- Preferred experience with Kafka, event-driven systems, streaming architectures, vector search, semantic retrieval, AI/ML data pipelines, workflow orchestration, asynchronous processing, containerized environments, CI/CD pipelines, production monitoring, or document-centric and AI-enabled platforms.
Benefits
- Medical, dental, and vision coverage.
- Fourteen days of PTO accrued annually.
- $2,000 or more per year for courses, conferences, books, and communities.
- New MacBook Pro, monitor, and monthly tools budget.
- Flexible hours; ideally in person in the Northern Virginia/Washington DC region, with remote work considered.
- Founding role with significant ownership, direct leadership exposure, and a fast-track path to Engineering Lead as the team scales.
- Base salary of $100,000-$200,000, plus equity and quarterly performance bonuses.
Tech Stack
Categories
BackendData Engineering
About Neuroscale AI
Neuroscale AI builds Arbi, an agentic AI platform that structures and automates evaluations—resume screening, content/proposal reviews, and rubric-based assessments—for recruiting and enterprise review workflows. It offers cloud or on‑prem deployments built on open‑source models, emphasizing transparency and data control, and provides custom solutions. Privately held and founded in 2024, the company is headquartered in Sterling, Virginia.