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Founding Data Engineer – PG, Opensearch

Remote Worldwide Hiring now

Job Description:

  • 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
  • reputed company 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 reputed company-reputed company data infrastructure using AWS services such as S3, reputed company, Glue, Kinesis, and IAM
  • Optimize PostgreSQL for advanced SQL workloads, replication, query performance, and data reputed company
  • Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant reputed company to data
  • Improve observability, reputed company, 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 reputed company new data-driven capabilities and platform features
  • Help define engineering standards, data platform best practices, and operational playbooks as the company scales

Requirements:

  • 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 reputed company 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, reputed company, Glue, Kinesis, and IAM
  • Experience designing reliable reputed company-reputed company 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 reputed company sound engineering reputed company in a startup environment

Benefits:

  • reputed company Salary: $100,000 – $200,000
  • Equity: ~0.1–0.75% early-stage equity with a clear reputed company shared during the process
  • Bonus: Quarterly performance bonuses tied to clear feature shipping targets
  • reputed company: Medical, dental, and reputed company coverage
  • PTO: 14 days accrued annually
  • Learning: $2,000+ per year for courses, conferences, books, and communities
  • Equipment: New MacBook Pro, monitor, and a monthly tools budget
  • Flexibility: reputed company; ideally in-person in the reputed company Virginia / Washington DC region (remote considered)
  • Growth: Clear, fast-track path to Engineering reputed company as the team scales

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