Data Engineer / Integration Specialist (Technical Specialist III) 2026P-0255
Ascension LLC is seeking a Data Engineer / Integration Specialist to support the American Battle Monuments Commission (ABMC) in transforming fragmented, stovepiped data into a unified, enterprise-level Business Intelligence (BI) ecosystem. This role is critical to enabling ABMC’s mission to manage globally dispersed cemeteries and memorial sites through data-driven decision-making.
The ideal candidate is a technically strong, mission-focused professional who thrives in data transformation, integration, and structuring efforts, and can bridge the gap between raw operational data and actionable intelligence. This individual will play a key role in designing data pipelines, standardizing data structures, and enabling Power BI dashboards that provide real-time insights across global operations.
This role is essential because over 60% of the effort involves building a common data framework to support BI capabilities , making this position foundational to the success of the entire initiative.
Position Summary
The Data Engineer / Integration Specialist will support enterprise data modernization efforts by transforming, integrating, and structuring disparate data sources into formats consumable by BI tools such as Power BI. The role requires strong expertise in ETL processes, data modeling, SharePoint/Excel data structuring, and Microsoft-based environments.
The ideal candidate is:
- Detail-oriented and highly analytical
- Self-driven and capable of working in ambiguous environments
- Skilled at translating business needs into data solutions
- Experienced in integrating structured and unstructured data sources
- Comfortable engaging with stakeholders to understand data requirements
This role will directly support ABMC’s need to:
- Consolidate fragmented data sources
- Improve data accessibility and usability
- Enable real-time BI dashboards for operational decision-making
- Establish sustainable, user-friendly data frameworks
Day-to-Day Activities
- Analyze existing data sources (SharePoint, Excel, Access, Oracle outputs) to assess structure, quality, and usability
- Design and implement ETL processes to transform raw data into BI-ready formats
- Integrate data from disparate systems into a unified data architecture
- Develop data models and schemas to support dashboard development and analytics
- Standardize data formats to ensure consistency across functional domains (personnel, facilities, horticulture, etc.)
- Collaborate with business analysts and stakeholders to define data requirements and KPIs
- Cleanse and validate data to ensure accuracy and reliability for reporting
- Support Power BI dashboard development by providing structured and optimized datasets
- Document data sources, transformation logic, and integration workflows
- Recommend improvements to data governance, accessibility, and architecture
- Assist in establishing data pipelines that can be maintained by non-technical users
- Participate in stakeholder workshops to identify and capture data needs
How to Apply
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| Job Category | Systems Engineering, Technology & Digital Solutions |
| Minimum Requirements | Bachelor’s Degree in Data Science, Computer Science, Information Systems, or related field | Minimum 6+ years of experience in data engineering, data integration, or data architecture |
| Required Skills | Proven experience with: ETL processes and data transformation, Data modeling and database design, Microsoft ecosystem (Excel, SharePoint, Power Platform) |
| Technical Skills | Experience integrating data from multiple sources (structured and unstructured)| Strong SQL and data manipulation skills | Experience supporting BI tools (Power BI preferred) | Ability to translate business requirements into technical data solutions| Strong analytical and problem-solving skills |
| Desired Skills | Experience supporting federal government or public sector clients | Experience with: Power BI data modeling and backend integration| Azure Data Services or cloud-based data environments | Data governance frameworks and metadata management | Familiarity with Oracle Financial systems or facilities management systems (e.g., Archibus) | Experience working with geographically distributed data environments | Certifications: Microsoft Certified: Data Engineer Associate, Azure Data Engineer Associate, Experience supporting enterprise BI implementations |
| Sustainability Requirements | Must be eligible to obtain a Public Trust (Moderate Risk)| Must be able to handle Sensitive But Unclassified (SBU) data | No clearance required, but compliance with federal data security standards (FISMA, NIST) is required |