Data Engineer (AI & Automation)

About the Role

IsI Enterprises is seeking a Data Engineer to join our new AI & Automation team. You will build the data foundation that powers AI-driven automation across our Security Control, Managed Services, and Managed Security Services business units. Working alongside the AI Solutions Architect and AI Software Engineer, you will own and evolve our Snowflake data platform and the AWS infrastructure around it, designing the pipelines and models that turn fragmented operational data (ticketing, compliance, telemetry, documentation) into trusted, secure, AI-ready datasets.

Because we serve Defense Industrial Base customers, you will treat security and data governance as first-class requirements, not afterthoughts.

Key Responsibilities

Data Pipeline Development

Design, build, and maintain scalable batch and streaming pipelines that ingest data from internal platforms, SaaS tools, cloud environments, and customer systems. Build reliable ETL/ELT processes with automated testing, validation, and monitoring. Model data in Snowflake (raw, curated, and consumption layers) so it is consistent, documented, and reusable across business units.

Snowflake Platform & AWS Infrastructure

Administer and optimize the Snowflake platform, including warehouses, roles and role-based access control, masking and data protection policies, network policies, scheduled tasks, and cost monitoring. Design, deploy, and maintain the supporting AWS infrastructure (e.g., S3, Lambda, ECS, IAM, networking, and secrets management) using Terraform as infrastructure as code. Integrate Snowflake and AWS logging with security monitoring tools such as Microsoft Sentinel.

AI & Automation Enablement

Partner with the AI Solutions Architect and AI Software Engineer to prepare data for LLM and automation use cases, including retrieval pipelines (RAG), embeddings and vector stores, and structured feature sets. Build the integrations that let AI-driven workflows read from and write back to operational systems. Support evaluation and observability of AI workflows through logging and quality metrics.

Security-First Data Engineering

Embed secure data practices into every pipeline, including encryption in transit and at rest, least-privilege access, secrets management, data classification, and audit logging. Enforce data segregation and handling requirements for sensitive and controlled information (e.g., CUI). Support CMMC, NIST SP 800-171, and related compliance obligations through documented, auditable data flows.

Data Quality, Reliability, and Operations

Monitor pipeline health, performance, and cost in production, and remediate failures quickly. Implement data quality checks, lineage, and alerting. Optimize storage and compute for performance and cost efficiency.

Collaboration and Process

Work with business unit stakeholders to understand operational problems and translate them into data requirements. Contribute through pull requests, code reviews, and agile ceremonies. Write clear technical documentation, including data dictionaries and architecture diagrams, and be prepared to defend design choices to the team. Leverage AI tooling to accelerate development and delivery.

Qualifications

• As part of your work at ISI, you will potentially have access to sensitive information from the federal government. Pursuant to applicable regulations, ISI requires that all candidates for this role present proof of U.S. citizenship before hire.
• Ability to obtain and maintain a U.S. Secret clearance
• 4+ years of experience designing, building, and operating data pipelines in production
• Strong proficiency in SQL and Python
• Experience with relational databases, specifically PostgreSQL
• Hands-on experience with Snowflake, including data modeling, RBAC, masking policies, and performance and cost optimization
• Experience designing, deploying, and operating AWS infrastructure (e.g., S3, Lambda, ECS, IAM, VPC networking)
• Hands-on experience with Terraform for infrastructure as code
• Experience with workflow orchestration (e.g., Airflow, Dagster, Prefect) and transformation tooling (e.g., dbt)
• Experience building integrations with REST APIs and third-party SaaS platforms
• Experience using AI tooling such as Claude, Codex, or an equivalent service to develop enterprise software
• Familiarity with version control (Git) and CI/CD practices
• Excellent problem-solvin…