Data Engineer

Trillion Technology Solutions Inc.; Fort Meade (MD); On-site; USD 110,000 - 140,000; Full time

Job summary

Trillion Technology Solutions Inc. seeks an experienced data professional to support a DISA Data Management and Governance program at Fort Meade. The role combines data management, stakeholder engagement, business analysis, and emerging AI-enabled activities.

You will work with cloud-based data, ETL processes, data quality, and AI tools, including prompt-engineering to improve governance and analytics. Collaboration with Government and technical stakeholders is essential to translate

Qualifications

• 3+ years of experience in data management, warehousing, or analytics.
• Experience with enterprise data environments, data integration, ETL/ELT, data quality, or governance.
• Strong requirements analysis and ability to translate into actionable solutions.
• Proven ability to work with Government, technical, and business stakeholders.
• Experience with generative AI technologies and prompt engineering.
• Secret clearance or ability to obtain one.

Responsibilities

• Perform data analysis and engineering activities for the program.
• Support data integration, ETL, data quality, and governance efforts.
• Apply AI and prompt-engineering techniques to use cases.
• Gather and document stakeholder requirements and facilitate discussions.
• Develop analyses, recommendations, and program artifacts.
• Collaborate with Government stakeholders and technical teams.

Skills

Data management

Data warehousing

ETL/ELT

Analytics

Business analysis

Stakeholder engagement

Generative AI / Prompt engineering

Communication

Tools

Python

SQL

Data profiling

AI tools

Cloud data platforms

Job description

Position Summary

We are seeking an experienced data professional to support a DISA Data Management and Governance program. The individual will support a combination of data management, stakeholder engagement, business analysis, and emerging AI-enabled activities.

The ideal candidate will bring strong analytical and communication skills along with hands‑on experience working with Cloud-based data, ETL/data integration processes, and modern AI capabilities. Particular emphasis will be placed on the ability to apply generative AI and prompt-engineering techniques to improve data‑management processes, analysis, documentation, knowledge discovery, and program delivery.

The position will also support stakeholder engagement activities, including gathering and analyzing requirements, facilitating discussions with Government and technical stakeholders, documenting business and data needs, tracking actions and decisions, and translating stakeholder requirements into actionable technical or programmatic activities.

Required Qualifications

• Minimum 3 years of relevant professional experience in data management, data warehousing, data engineering, analytics, business analysis, or a related discipline.
• Demonstrated experience working with enterprise data environments, including data integration, transformation, ETL/ELT, data quality, or data governance activities.
• Strong experience analyzing business and technical requirements and translating them into actionable solutions or recommendations.
• Demonstrated ability to work directly with Government, technical, and business stakeholders.
• Strong written and verbal communication skills, including the ability to develop clear documentation, presentations, requirements, meeting artifacts, and executive‑level summaries.
• Experience using or supporting generative AI technologies and prompt engineering, including developing effective prompts and applying AI tools to analytical, data‑management, or business‑process use cases.
• Ability to work independently within a multidisciplinary team and manage multiple priorities in a Government contracting environment.
• Active Secret clearance or ability to obtain and maintain a Secret clearance.

Preferred / Nice‑to‑Have Qualifications

• Background as a Cloud-based Data Scientist, Data Engineer, ETL Engineer, Data Warehousing Specialist, or similar technical data role.
• Experience with Python, SQL, data profiling, data transformation, analytics, or machine‑learning/data‑science techniques.
• Advanced knowledge of prompt engineering, retrieval‑augmented generation, AI‑assisted analytics, or application of large language models to enterprise data‑management challenges.
• Experience supporting data governance, data quality, metadata management, data architecture, or data strategy initiatives.
• Previous experience functioning as a Business Analyst or supporting stakeholder‑engagement workstreams.
• Prior DISA, DoD, or Federal Government experience.
• Familiarity with DoD data‑management and cybersecurity environments.
• Ability and willingness to work onsite at Fort Meade, Maryland, as program needs require.

Key Responsibilities

The individual will support the Data Management and Governance program by performing data analysis and engineering activities; supporting data integration, ETL, data quality, and governance efforts; applying AI and prompt‑engineering techniques to program and data‑management use cases; gathering and documenting stakeholder requirements; facilitating stakeholder meetings and working sessions; developing analyses, recommendations, presentations, and other program artifacts; and collaborating with Government stakeholders and technical teams to translate mission and business needs into implementable data solutions.