Azure Data and MLOps Engineer

• Competitive Employee Health Insurance options including dental
• 100% company paid vision plan
• 401K plan with generous company match and no vesting period
• 100% company paid life insurance
• 100% company paid long and short-term disability insurance
• Training allowance
• PTO and more

• Active Secret clearance.
• Hands-on Azure data-engineering experience.
• Strong SQL and Python capability.
• Experience building production ETL/ELT pipelines and API-based integrations.
• Experience deploying or operationalizing machine-learning models.
• Experience implementing identity, access, secrets, logging, and monitoring in cloud environments.

• Bachelor’s degree in computer science, information systems, engineering, data engineering, or a related discipline; equivalent experience may substitute.
• Six or more years in data engineering, cloud engineering, platform engineering, or software integration.
• Three or more years using Microsoft Azure.
• Experience with at least two major Azure data technologies, such as:
  • Azure Data Factory.
  • Azure Synapse Analytics.
  • Azure Databricks.
  • Azure SQL.
  • Data Lake Storage.
  • Microsoft Fabric where relevant.
• Experience developing REST API, services, databases, file-based, or event-driven integrations.
• Experience with Git, Azure DevOps, or comparable CI/CD tooling.
• Experience with data validation, schema management, error handling, logging, and recovery.
• Experience deploying models as endpoints, containers, batch jobs, or integrated services.

• Azure Government, cARMY, IL4/IL5/IL6, GCC High, or another restricted Government environment.
• Azure Machine Learning, Azure OpenAI, MLflow, Docker, Kubernetes, or model-serving technologies.
• Entra ID, managed identities, Key Vault, RBAC, private endpoints, network controls, and secure secrets management.
• GCSS-Army, SAP, ERP, Army logistics, or DoD system integration.
• Data lineage, metadata, governance, and architecture documentation.
• Power BI gateways, semantic models, or Power Platform integration.
• Experience supporting classified data.

• Design SEA data-ingestion and integration architecture.
• Connect SEA to additional authoritative Army systems.
• Build and maintain pipelines that ingest, transform, reconcile, and synchronize data.
• Develop API and service integrations using approved Army patterns.
• Support structured, semi-structured, and document-based data.
• Implement model-development and deployment environments.
• Establish CI/CD, versioning, model packaging, release, rollback, and monitoring.
• Configure identity, secrets, logging, alerting, and security controls.
• Diagnose data latency, quality, pipeline, model-endpoint, and integration failures.
• Produce architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
• Support Power BI and Power Apps data connections.

• Ability to work remotely during normal Government working hours and participate in daily status, requirements, development, and technical-review sessions.
• Ability to travel to Fort Lee, Virginia, at least three times annually and report onsite more frequently if directed.

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status”

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