Data Engineer Security Clearance

Position: Data Engineer with Security Clearance
Position:
Data Engineer (Job )

Location:

Virginia Beach, VA
Remote Status:
Hybrid
Job
# of Openings: 1 Data Engineer

Purpose:

* Valkyrie Enterprises has need for a Data Engineer in Virginia Beach, VA.

* This role is Hybrid.

* The Data Engineer supports Valkyrie’s Data & AI initiatives by designing, building, and maintaining reliable enterprise data pipelines, integrations, and curated datasets that enable reporting, automation, analytics, and future AI-enabled capabilities.

* This role is responsible for helping establish and scale the organization’s enterprise data foundation by transforming raw operational data into trusted, structured, and reusable data assets.

* The Data Engineer works across enterprise systems, data platforms, and operational workflows to improve data accessibility, reliability, and consistency throughout the organization.

* The role focuses on developing scalable data pipelines, supporting enterprise reporting and planning needs, improving data quality and observability, and preparing data structures that support automation and AI initiatives.

* This position works closely with IT Services and stakeholders across the enterprise to support the successful delivery, expansion, and ongoing improvement of enterprise data capabilities.

Job Description:

* The Data Engineer is responsible for designing, developing, maintaining, and supporting enterprise data pipelines, integrations, and curated data solutions across Valkyrie’s business systems and operational platforms.
This role will:
* Develop and maintain scalable ETL/ELT pipelines across enterprise systems and operational data sources.

* Build and maintain curated datasets that support reporting, planning, analytics, automation, and AI initiatives.

* Design and support enterprise data warehouse models and data integration workflows.

* Improve data quality, validation, monitoring, lineage, and operational reliability across the data platform.

* Support ingestion and integration of new enterprise systems, business applications, and operational data sources.

* Troubleshoot pipeline failures, performance issues, and data inconsistencies while driving root-cause resolution.

* Support AI and automation initiatives by preparing structured, reusable, and model-ready datasets.

* Partner with stakeholders to translate operational and reporting needs into scalable technical solutions.

* Contribute to engineering standards, documentation, deployment practices, and operational support procedures.

* Collaborate with technical leadership and product stakeholders on backlog priorities, sequencing, and delivery planning.

Qualifications:

* Must have a bachelor’s degree in Information Systems, Computer Science, Engineering, Data Analytics, or a related field and at least 5 years of relevant professional experience, or an equivalent combination of education and experience.

* Must have hands-on experience developing and supporting ETL/ELT pipelines, data integrations, or enterprise data solutions.

* Must demonstrate strong SQL and Python skills in production or enterprise environments.

* Must have experience supporting modern data warehouse or cloud-based data platforms.

* Must demonstrate experience working with structured and unstructured data sources across enterprise systems.

* Must demonstrate the ability to troubleshoot data quality, integration, and pipeline performance issues.

* Must possess strong written and verbal communication skills and the ability to work effectively across technical and non-technical teams.

* Must demonstrates foundational ability to translate business and operational requirements into technical solutions.

* Must be capable of working independently with appropriate guidance, exercising sound judgement and contributing to multiple concurrent initiatives.
Desired Qualifications
* Experience with cloud data platforms and services such as Snowflake and Azure, preferred.

* Experience supporting reporting, analytics, automation, or AI-enabled business initiatives, preferred.

* Experience working with ERP, HRIS, finance, workforce, or operational business systems, preferred.

* Familiarity with orchestration, monitoring, observability, or data validation…