Data Integration & Governance SME

Human Capital Solutions•Virginia, VA

About The Position

The Data Integration & Governance SME will help build a unified view of mission IT health by integrating data from dozens of systems into a reporting dashboard that enables leadership to see enterprise status in real time. The role architects and operates data pipelines for ingesting, storing, processing, and integrating large, multi-source datasets, including infrastructure and multi-cloud log feeds. The position also owns data quality and governance, supports compliance with federal requirements, and applies security controls to data systems. The SME scripts automation and collaborates with systems engineers, data scientists, and government stakeholders to meet mission goals. Hiring levels range from mid-level to principal.

Requirements

  • Strong SQL skills.
  • Experience with cloud data platforms, including AWS GovCloud.
  • Hands-on experience with log aggregation tools such as Splunk, Elastic, and Logstash.
  • 5+ years in data engineering, systems integration, or information assurance; listed hiring levels range from mid-level (3+ years) through principal (16+ years).
  • Clear technical writing skills for documentation and compliance reporting.
  • Working knowledge of cloud security, IAM, and Linux/Windows hardening.
  • Bachelor’s degree in data science, computer science, cybersecurity, information systems, engineering, or a related field, or equivalent experience. Hiring levels are specified as requiring a bachelor’s degree.
  • U.S. citizenship.
  • Active TS/SCI with Full Scope Polygraph.

Nice To Haves

  • Azure Government or AWS GovCloud background.
  • Certifications such as CISSP, CISM, CISA, CASP+, or GSEC.
  • DevSecOps, CI/CD, Ansible, or Terraform experience.
  • Experience with RMF and ICD 503 accreditation.

Responsibilities

  • Architect and operate pipelines to ingest, store, process, and integrate large multi-source datasets.
  • Connect SNMP, server, storage, network-device, and multi-cloud log feeds to a single reporting platform.
  • Build and maintain ETL/ELT processes for high-volume streaming data.
  • Own data quality through auditing, validation, and cleansing to keep reports accurate.
  • Define and enforce governance standards for security, integrity, and access.
  • Keep data handling aligned with federal requirements such as FISMA, HIPAA, and FDTA.
  • Apply security controls to data systems in line with NIST RMF and ICD 503.
  • Script automation using Python, PowerShell, or Bash.
  • Partner with systems engineers, data scientists, and government stakeholders to meet mission goals.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service