Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployed Engineer (AI/AWS): Designing and deploying secure, scalable cloud-based data lakehouse solutions for government customers with an accent on ETL/ELT pipelines and federated cloud architectures. Focus on optimizing petabyte-scale workloads, implementing FedRAMP/FISMA controls, and bridging SaaS offerings with secure government environments.
Location: Hybrid (Washington DC). Active TS/SCI clearance required. Must align with US-Eastern timezone.
Salary: $200,000 - $260,000
Company
provides AI-powered intelligence solutions to help public and private sector agencies investigate and disrupt financial crime.
What you will do
- Design and deploy secure, scalable AWS cloud-based data lakehouse solutions using S3, EMR/EKS, Iceberg, or Delta Lake.
- Develop and optimize production-ready ETL/ELT pipelines using Python, Apache Airflow, Spark, and SQL for petabyte-scale workloads.
- Containerize services on Kubernetes (EKS) and manage infrastructure as code via Terraform or CloudFormation.
- Build integrations for data ingestion from message buses, APIs, and relational databases to enable real-time analytics.
- Execute all SDLC phases, from requirements gathering and architecture to testing and secure deployment.
- Implement observability solutions (Prometheus, Datadog, NewRelic) to maintain SLAs and support mission-critical production systems.
Requirements
- 4+ years of experience building and deploying data pipelines in Python.
- Expertise in Apache Airflow (DAGs, scheduler tuning) and Apache Spark (SQL, DataFrames).
- Strong SQL skills with experience in window functions, CTEs, and large dataset optimization.
- Professional experience with AWS (S3, EMR, EKS, IAM, Redshift) and Kubernetes.
- Active TS/SCI clearance required (Polygraph strongly preferred).
- Willingness and ability to travel up to 25% to client sites.
Culture & Benefits
- High-velocity, high-ownership environment prioritizing speed, experimentation, and impact.
- Distributed-first company culture with regional hubs.
- Eligibility to participate in the company equity plan.
- AI fluency is a baseline expectation; the company encourages using AI to accelerate professional craft.
- Mission-driven work at the intersection of AI, national security, and crime fighting.
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