SCI with Counterintelligence Polygraph Required

Accrete•Alexandria, VA

1d•$150,000 - $180,000•Onsite

About The Position

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 Mid, 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.

Requirements

Active TS/SCI clearance with Counterintelligence or Lifestyle Polygraph
3+ years of experience in data engineering, data management, database administration, systems administration, or a related technical field
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline, or equivalent professional experience
Strong SQL skills and experience working with relational databases
Experience building or supporting ETL/ELT pipelines and data integration workflows
Experience with Python or another scripting language for data processing and automation
Experience working with structured and unstructured datasets
Understanding of data quality, data governance, metadata, and data lifecycle management
Experience troubleshooting technical and data-related issues
Strong attention to detail and ability to work with complex datasets
Strong written and verbal communication skills
Ability to work independently while collaborating closely with technical and mission teams

Nice To Haves

Experience supporting the Department of Defense, Intelligence Community, or other federal mission
Experience administering enterprise data management platforms
Experience with data catalogs, metadata management, data lineage, or data governance tools
Experience with PostgreSQL, MySQL, SQL Server, Oracle, or similar databases
Experience with AWS, Azure, or other cloud environments
Experience with Spark, Databricks, Snowflake, or other large-scale data platforms
Experience with Airflow, Kafka, or other data pipeline and orchestration technologies
Experience with REST APIs and automated data ingestion
Experience with Docker and Kubernetes
Experience working in classified, secure, or air-gapped environments
Experience supporting AI/ML, NLP, LLM, or knowledge management applications
Experience with data visualization or analytics tools such as Tableau or Power BI
Familiarity with federal data management, security, and compliance requirements
Ability to obtain and maintain additional security clearance accesses to Special Access Programs (SAP) or Access Compensatory Control Measures (ACCM)

Responsibilities

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 DevOps 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 training to users where appropriate
Collaborate with data scientists and analysts to ensure data is suitable for analytical and AI applications

Benefits

Competitive Salary: Aligned with experience and market standards
Comprehensive Insurance: Health, dental, and vision coverage for you and your family
401(k) Plan: Build your financial future with our retirement savings plan
Growth & Development: Access professional learning opportunities and career advancement support
Onsite Perks: Enjoy catered lunches, snacks, and a fully stocked kitchen
Team Bonding: Company-sponsored happy hours and social events to connect and unwind

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