About the role

  • 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
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

Job title

Data Engineer

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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