Data Engineer, TS​/​/SCI with Counterintelligence Polygraph Required

Location:
Alexandria, VA

Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients — at the economics of software, not labor.

At the core is Accrete’s Knowledge Engine, a dynamic context graph that captures an organization’s tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions — not just answer questions about them.

From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement.

As a Data Engineer, you will work across data engineering, data management, system administration, and technical mission support
. You will help ensure that data is properly ingested, organized, transformed, validated, and made accessible to the users and applications that depend on it.

You will work closely with data scientists, software engineers, AI/ML teams, system administrators, and government customers to maintain reliable data workflows and resolve data-related issues.

This is a hands‑on role for someone who understands both how data moves through technical systems and how users need to access and manage that data
.

• Build, maintain, and troubleshoot data ingestion and transformation pipelines
• Integrate structured and unstructured data from multiple sources and systems
• Develop ETL/ELT workflows to move and transform data
• Develop SQL queries and scripts to extract, transform, validate, and analyze data
• Support data ingestion through APIs, databases, files, feeds, and other sources
• Develop repeatable processes for data onboarding and integration
• Monitor data pipelines and investigate failures, delays, and inconsistencies
• Work with engineering teams to improve the reliability and scalability of data workflows

• Support the administration and day‑to‑day operation of data management platforms and tools
• Configure data management workflows, schemas, metadata, permissions, and other platform settings
• Manage data repositories, datasets, tables, and associated documentation
• Support user account and access management in accordance with security requirements
• Maintain data catalogs, metadata, taxonomies, and other information structures
• Assist with data lifecycle management, retention, archiving, and disposition processes
• Document data sources, workflows, dependencies, and system configurations
• Provide technical support to users working with data management tools
• Troubleshoot platform and data management issues and coordinate escalation when necessary

• Develop and implement data quality checks and validation processes
• Monitor datasets for completeness, accuracy, consistency, and timeliness
• Identify duplicate, missing, malformed, or inconsistent data
• Investigate the root causes of data quality issues
• Develop automated processes to detect and remediate common data issues
• Support data governance standards and best practices
• Maintain data lineage and documentation for critical datasets
• Help ensure data is appropriately classified, handled, and secured

• Provide technical support for data systems and workflows
• Troubleshoot data access, ingestion, transformation, and processing issues
• Develop scripts and automation to reduce manual data management tasks
• Support deployment and configuration of data tools in secure environments
• Work with Dev Ops and infrastructure teams to maintain data services
• Support monitoring, logging, and alerting for data pipelines and systems
• Identify opportunities to improve efficiency and reduce manual operational work

• Work directly with government customers and mission users to understand data requirements
• Support data onboarding and integration for new mission datasets
• Help users troubleshoot data access and management issues
• Translate operational requirements into practical data engineering solutions
• Support demonstrations, testing, and deployment of data capabilities
• Provide technical guidance and…