Data Engineer

Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. Our collaborative, client-first service approach, combined with our commitment to the rapid implementation of pragmatic solutions, has earned Trilogy an unparalleled reputation for delivering transformative results. Trilogy Federal is looking for a Data Engineerwith knowledge and experience in federal financial management data from Momentum Financials to support current and future opportunities on high-priority projects for the Department of Veterans Affairs. This role supports an enterprise scale data cleanse effort and requires the ability to collect, transform, and process raw data into actionable insights. This role oversees data analytics and automation efforts supporting the VA FMBT. It requires collaboration with VA stakeholders, functional teams, and workstream leadership to gather requirements and deliver reporting and dashboards.   We are seeking candidates for a hybrid-location role in Arlington VA or for full-time remote work. Primary Responsibilities:

• Lead the development, maintenance, and delivery of data cleanse reports, business intelligence solutions, and automated workflows supporting the VA FMBT program. 

• Manage and provide day-to-day technical support to developers and analysts working on financial data quality, cleansing, and remediation activities across FMS and iFAMS. 

• Develop and maintain Alteryx workflows, PL/SQL processes, Power BI reports, and other data automation solutions. 

• Review technical solutions for accuracy, processing efficiency, maintainability, KPI integrity, and adherence to established development and testing standards. 

• Coordinate requirements, development, testing, validation, documentation, and delivery activities with VA stakeholders, analysts, and technical teams. 

• Maintain reporting, scorecards, and data quality metrics used to monitor cleanse issues, remediation progress, and overall program status.

Minimum Requirements:

BA/BS or equivalent and 8 years in the industry, eight of which directly relate to the required data analysis.

Experience delivering complex data products and extract, transform, and load (ETL) pipelines.

Proficient in SQL and PL/SQL.

Power BI and Alteryx Experience.

Ability to obtain Public Trust clearance.

Ability to operate in a fast-paced, dynamic environment with team members and stakeholders. 

Effectively communicate and interact with senior level management and clients. 

Excellent oral, written, and interpersonal skills. 

Creative problem-solving skills.  

Ability to prioritize and manage multiple tasks concurrently.  

Ability to work independently or with little direction, when required.  

Experience working within or supporting federal agencies or highly regulated environments. 

Ability to interface well with SME’s, end-users, and client stakeholders across the organization.  

Highly proficient in MS Office Applications: Word, Excel, PowerPoint, SharePoint

Knowledge of Agile principles and methodologies; experience working in an Agile environment.

Preferred Qualifications:

VA or Federal experience preferred. 

Momentum experience preferred.

GitHub, Claude, and Copilot experience preferred.

Benefits (including but not limited to):

Health, dental, and vision plans

Optional FSA

Paid parental leave

Safe Harbor 401(k) with employer contributions 100% vested from day 1

Paid time off and 11 paid holidays

No cost group term life/AD&D plan, and optional supplemental coverage

Pet insurance

Monthly phone and internet stipend

Tuition and training reimbursement

To cut down on falsified applications and to avoid subjecting real candidates to screening by AI assistants, phone interviews at Trilogy require either a landline or a cellphone number backed by a physical SIM. We cannot conduct interviews with candidates who provide VOIP contact numbers (including Google Voice).    Trilogy Federal is an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, a