Data Engineer (AI & Automation)

Location: Reston, VA; remote work

Salary: $130,000–$150,000 annual salary

Company

Builds security control, managed services, and managed security services for Defense Industrial Base customers.

What you will do

• Design, build, and operate scalable batch and streaming data pipelines integrating internal platforms, SaaS tools, cloud environments, and customer systems.
• Model and administer Snowflake data layers, including RBAC, masking and data protection policies, network policies, scheduled tasks, logging, performance, and cost optimization.
• Design, deploy, and maintain AWS infrastructure such as S3, Lambda, ECS, IAM, networking, and secrets management with Terraform.
• Prepare operational data for LLM and automation use cases, including retrieval pipelines, embeddings, vector stores, structured feature sets, and integrations with operational systems.
• Implement secure, auditable data flows with encryption, least-privilege access, data classification, segregation, lineage, quality checks, monitoring, and alerting.
• Work with stakeholders and the AI Solutions Architect and AI Software Engineer through code reviews, pull requests, Agile ceremonies, technical documentation, and architecture reviews.

Requirements

• U.S. citizenship is required before hire, and the ability to obtain and maintain a U.S. Secret clearance is required.
• 4+ years of experience designing, building, and operating production data pipelines.
• Strong proficiency in SQL and Python, with experience using relational databases, specifically PostgreSQL.
• Hands-on Snowflake experience covering data modeling, RBAC, masking policies, performance optimization, and cost optimization.
• Experience designing, deploying, and operating AWS infrastructure, including S3, Lambda, ECS, IAM, and VPC networking.
• Hands-on Terraform experience for infrastructure as code.
• Experience with workflow orchestration such as Airflow, Dagster, or Prefect, and transformation tools such as dbt.
• Experience building REST API and third-party SaaS integrations, using AI tooling such as Claude, Codex, or an equivalent service to develop enterprise software.
• Familiarity with Git and CI/CD practices, strong problem-solving and analytical skills, attention to detail, independent and collaborative work in a fast-paced Agile environment, and strong communication and interpersonal skills.

Nice to have

• Bachelor’s degree in computer science, data engineering, or a related technical field, or equivalent work or military experience.
• Experience preparing data for LLM applications, including RAG pipelines, embeddings, and vector databases such as pgvector, OpenSearch, or Pinecone.
• Experience with AWS data services such as Glue, Athena, RDS, and Kinesis, and with AWS GovCloud.
• Experience with Snowpark, Cortex, scheduled tasks, and Snowflake-to-SIEM log integration.
• Experience with Docker, Kubernetes, and CI/CD for infrastructure deployments, as well as streaming technologies such as Kafka or Kinesis.
• Familiarity with data governance, lineage, cataloging, and security frameworks including CMMC, NIST SP 800-171, DFARS, or FedRAMP.
• Experience working with security, IT service management, or MSP data, including SIEM, ticketing, PSA, or RMM platforms.

Culture & Benefits

• Remote work in a casual, friendly, and relaxed environment.
• Professional growth encouragement and support.
• Medical, dental, and vision insurance with FSA and HSA options.
• PTO, 11 paid holidays, and paid parental and military leave.
• Life and disability insurance, plus a 401(k) with match.