Data Engineer

• 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.

• 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.

• 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 have experience working in a defense contractor, government, or regulated compliance environment.
• 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.

• 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 frameworks, preferred.
• Experience supporting machine learning, intelligent automation, or AI-related data preparation workflows, preferred.

• Experience with version control, testing, and deployment practices for data pipelines, preferred.

• Must have the ability to obtain a U.S. Government security clearance.

• Must comply with all Valkyrie Enterprises security policies and procedures.

• Travel may be required on an as-needed basis to support stakeholder engagement, workshops, project coordination, or key business initiatives.
• If position requires travel by domestic flight or access to secure federal facilities/military bases, candidate must be able to obtain (by start of position) and maintain appropriate identification credentials, such as REAL ID. (More information regarding REAL ID can be found: https://www.dhs.gov/real-id )

• Remaining in a stationary position, often standing, or sitting for prolonged periods.
• Able to sit and work on a computer for long periods of time.
• Moving about to accomplish tasks or moving from one worksite to another.
• Light work that includes moving objects up to 20 pounds.

Additionally, Valkyrie Enterprises provides a variety of benefits to eligible employees to support your best health, wellness, and future, to include medical/dental/vision options, company paid life and disability insurances, 401k with match, education reimbursement, as well as company paid holidays and paid time off (PTO)

$90,000 - $120,000 per year