US Tech Force Data Engineer

About US Tech Force

The US Tech Force is recruiting an elite corps of engineers to build the next generation of government technology. Backed by the White House, Tech Force will tackle the most complex and large-scale civic and defense challenges of our era – from administering critical financial infrastructure at the Treasury Department to advancing cutting-edge programs at the Department of Defense – and everything in between.

Through a two-year program, participants will work in teams reporting directly to agency leadership. In collaboration with leading technology companies, participants will receive technical training, engage with industry leaders, and work closely with senior managers from companies partnering with the Tech Force.

Upon completing the program, engineers can seek employment with the partnering private-sector companies for potential full-time roles – demonstrating the value of combining civil service with technical expertise.

https://techforce.gov/

About the Role

The role involves leading the planning, coordination, and execution of major IT applications and software projects, ensuring high-quality delivery and effective team collaboration.

Responsibilities

• Leads the planning, coordination, and execution of major IT data engineering projects, including new data management initiatives, ensuring alignment with business and mission requirements.
• Leads the development and execution of complex system testing strategies, configuration management plans, and quality assurance protocols.
• Leads and mentors project teams composed of technical specialists, analysts, and support staff. Assigns tasks, monitors progress, and ensures deliverables meet quality expectations.
• Aligns project outcomes with agency-wide IT strategies, digital modernization goals, and mission priorities. Serves as the primary liaison between project teams, business units, vendors, and executive leadership.

Qualifications

One cumulative year of experience related to each of the responsibilities below. This can include paid or unpaid internships, volunteer experiences, student organizations, and jobs. Demonstrated proficiency (e.g., skills) will be assessed through the structured evaluation process.

Required Skills

• Utilizing Structured Query Language (SQL) to accomplish tasks, such as developing and refining SQL queries to facilitate efficient data extraction, transformation, and loading processes.
• Coordinating data engineering work, such as coordinating requirements gathering and resource planning through implementation, testing, and sustainment using technologies such as SQL, Python, R, Power BI, Tableau, or AWS/Azure analytics services.
• Running data management projects end to end, such as planning and delivering projects: creating a timeline, tracking risks, coordinating with teammates, or keeping work moving.
• Explaining technical ideas, such as sharing updates and tradeoffs with different audiences (e.g., data analysts, vendors, and senior leaders) through briefings, reports, or documentation.
• Solving problems with secure, scalable solutions, such as diagnosing issues (e.g., bugs, performance, integration), improving reliability, or building with security in mind (e.g., authentication/authorization, data protection) so systems can handle growth.