Data Engineering·Confirmed live in the last 24 hours·
Full-timeReston, VA, USA
About the Job
Requirements
Present proof of U.S. citizenship before hire.
Be able to obtain and maintain a U.S. Secret clearance.
Have 4+ years of experience designing, building, and operating data pipelines in production.
Be proficient in SQL and Python.
Have experience with relational databases, specifically PostgreSQL.
Have hands-on experience with Snowflake, including data modeling, role-based access control, masking policies, and performance and cost optimization.
Have experience designing, deploying, and operating AWS infrastructure, such as S3, Lambda, ECS, IAM, and VPC networking.
Have hands-on experience with Terraform for infrastructure as code.
Have experience with workflow orchestration tools such as Airflow, Dagster, or Prefect, and transformation tooling such as dbt.
Have experience building integrations with REST APIs and third-party SaaS platforms.
Have experience using AI tooling such as Claude, Codex, or an equivalent service to develop enterprise software.
Be familiar with version control using Git and CI/CD practices.
Have problem-solving and analytical skills and attention to detail.
Be able to work independently and collaboratively in an Agile environment.
Have communication and interpersonal skills to interact effectively with team members at all levels.
Responsibilities
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 across raw, curated, and consumption layers so it is consistent, documented, and reusable across business units.
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 supporting AWS infrastructure, including 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.
Partner with the AI Solutions Architect and AI Software Engineer to prepare data for LLM and automation use cases, including retrieval pipelines, embeddings, vector stores, and structured feature sets.
Build 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.
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, including CUI.
Support CMMC, NIST SP 800-171, and related compliance obligations through documented, auditable data flows.
Monitor production pipeline health, performance, and cost, and remediate failures quickly.
Implement data quality checks, lineage, and alerting.
Optimize storage and compute for performance and cost efficiency.
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 technical documentation, including data dictionaries and architecture diagrams, and defend design choices to the team.
Leverage AI tooling to accelerate development and delivery.
Desired Qualifications
A 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 retrieval-augmented generation 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 Snowflake features such as Snowpark, Cortex, scheduled tasks, and Snowflake-to-SIEM log integration.
Experience with containerization using Docker or Kubernetes and CI/CD for infrastructure deployments.
Experience with streaming technologies such as Kafka or Kinesis.
Familiarity with data governance, lineage, and cataloging practices.
Familiarity with security frameworks and compliance requirements such as CMMC, NIST SP 800-171, DFARS, or FedRAMP.
Experience working with data from security, IT service management, or MSP tooling such as SIEM, ticketing, or PSA/RMM platforms.
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
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-solving and analytical skills with keen attention to detail
Ability to work independently and collaboratively in a fast-paced Agile environment
Strong communication and interpersonal skills, with the ability to interact effectively with team members at all levels
Preferred Qualifications
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 (e.g., pgvector, OpenSearch, Pinecone)
Experience with AWS data services such as Glue, Athena, RDS, and Kinesis, and with AWS GovCloud
Experience with Snowflake features such as Snowpark, Cortex, scheduled tasks, and Snowflake-to-SIEM log integration
Experience with containerization (Docker, Kubernetes) and CI/CD for infrastructure deployments
Experience with streaming technologies (e.g., Kafka, Kinesis)
Familiarity with data governance, lineage, and cataloging practices
Familiarity with security frameworks and compliance requirements such as CMMC, NIST SP 800-171, DFARS, or FedRAMP
Experience working with data from security, IT service management, or MSP tooling (e.g., SIEM, ticketing, PSA/RMM platforms)
What We Offer
$130,000–$150,000 annual salary range
Remote work
A casual, friendly, and relaxed work environment
Professional growth encouragement and support
Medical, Dental, and Vision insurance with FSA and HSA options
PTO, 11 Paid Holidays, Paid Parental & Military Leave, and more
Life & Disability Insurance
401K with match
Industrial Security Integrators, LLC ("IsI") is an equal opportunity employer committed to affirmative action and diversity in the workplace. It is the policy of IsI to provide Equal Employment Opportunities (EEO) to Employees and Applicants, without regard to race, color, religion, sex, age, marital status, citizenship status, national origin, sexual orientation, gender identity, veteran status or disability or any other factor protected by law and to provide advancement opportunities for minorities, women, disabled individuals, and veterans. IsI is stronger and more effective when our workforce includes highly qualified individuals with diverse backgrounds, cultures, and traditions.