Data Engineer designing and implementing scalable data pipelines and interactive dashboards for military clients. Collaborating with teams to support advanced analytics and modernize legacy environments.
Responsibilities
Guidehouse is seeking an experienced Data Engineer to join our Technology AI and Data practice with a dedicated focus on military clients in the Defense & Security segment.
This individual will have a strong data engineering background and be a hands-on technical contributor, responsible for designing, implementing, and maintaining scalable data pipelines and interactive dashboards than enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation.
The Data Engineer will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives for our federal client.
Collaborate with military clients to understand data architecture, data pipeline and reporting requirements.
Lead the development of ETL pipelines and dashboard integrations using Databricks and Microsoft Power Platform tools (i.e. Power BI).
Ensure delivery excellence and measurable outcomes across data migration and visualization efforts.
Ensure solutions support auditability, internal controls, and statutory compliance requirements. This includes strict financial data controls.
Design and implement scalable ETL/ELT pipelines using Databricks, SQL, and Python.
Develop and optimize dashboards aligned with federal reporting standards, as needed.
Apply AI/ML tools to automate metadata extraction, clustering, and dashboard scripting.
Optimize data pipelines for performance with large data sets for both analytics and transactional load use cases (e.g., OLAP, OLTP).
Enable downstream BI via clean data. Ensure compliance with federal data governance, security, and performance standards.
Design and document enterprise data models, metadata strategies, data lineage frameworks, and other relevant documentation, as needed.
Align data from multiple discrete data sets into a cohesive, interoperable architecture, identifying opportunities for linkages between datasets, normalization, field standardization, etc.
Assist with cleanup of existing data and models, including use of ETL.
Work closely with data architects, analysts, and cloud engineers to deliver integrated solutions.
Support documentation, testing, and deployment of data products.
Mentor junior team members and contribute to reusable frameworks and accelerators.
Contribute to thought leadership and best practice development across the AI & Data team.
Requirements
An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelor’s degree
TWO (2) or more years of experience in data engineering and dashboard development.
Experience with Databricks, business intelligence tools, and cloud platforms (AWS, Azure.)
Experience using in SQL, Python, or Spark.
Experience building ETL pipelines and integrating data sources into reporting platforms.
Benefits
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
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