Data Engineer

CGI Federal is seeking a Data Engineer to advance human-machine collaboration and deliver data driven strategies that boost performance for Air Force missions at Joint Base Lewis McChord, Seattle, WA (onsite).

Responsibilities

• Oversees collaboration with internal and external stakeholders to gather, normalize, and standardize data assets across multiple projects and platforms.
• Designs, sustains, evaluates, and validates data solutions across the organization.
• Creates and enforces policies to secure, steward, deliver, and enhance the value and integrity of data and information programs.
• Gathers, stores, processes, and analyzes raw and complex data from diverse sources; identifies use cases, designs optimal data solutions, and builds processing systems using data warehousing concepts and modern database technologies.
• Ensures data quality within the enterprise architecture; monitors results, reports findings, and recommends system changes to improve data quality across applications.
• Investigates data quality issues, analyzes root causes, corrects errors, and develops prototypes, improvement plans, and proofs of concept for selected solutions.
• Transforms unstructured data into analysis-ready formats and conducts analyses; integrates innovative algorithms into data systems with engineering collaboration.
• Leads complex data projects focused on collecting, parsing, managing, analyzing, and visualizing large datasets across multiple platforms to generate actionable insights.
• Determines hardware and software design needs and implements the resulting decisions.
• Acts as a data subject matter expert, partnering with business owners or external clients to establish analysis plans and deliver reports and insights.

Requirements

• Bachelor's degree with eight or more years of related experience.
• U.S. citizenship with an active Secret security clearance.
• Experience collecting, compiling, normalizing, and performing standard analyses across diverse data platforms.
• Proven ability to design, maintain, evaluate, and test data solutions.
• Expertise building data pipelines to collect, store, process, and analyze structured and unstructured data.
• Knowledge of data warehousing concepts, architectures, and database technologies.
• Ability to architect, implement, and manage complex data processing initiatives.
• Strong analytical capability to produce insights, operational reports, and data-driven recommendations.
• Proven ability to collaborate with stakeholders as a data subject matter expert.
• Excellent communication skills for presenting complex analyses to diverse audiences.
• Strong problem-solving skills and meticulous attention to detail.
• Proven ability to work independently and effectively in a collaborative, mission-focused environment.
• Experience working with the Air Force.
• Experience handling medical data and following HIPPA requirements.
• Understanding of data governance, data protection, and data management policies.
• Experience developing prototypes, process improvement plans, and proofs of concept solutions.
• Skilled at integrating algorithms and innovations into operational data systems.
• Familiarity with hardware and software decision-making for data architecture needs.
• Ability to assess and improve data quality and perform root-cause investigations.

Benefits

• Competitive compensation with profit participation program; salary range USD 62,900 to 153,300 per year.
• Comprehensive medical, dental, and vision coverage.
• Basic life and accidental death and dismemberment insurance.
• 401(k) matching contributions and CGI share purchase plan.
• Flexible paid time off, 10 to 20 days per year based on role and tenure.
• 80 hours of floating holiday leave per year.
• Minimum 80 hours of paid sick/safe leave per year, subject to applicable laws.
• Paid parental leave ranging from 20 to 70 business days depending on circumstances and laws.
• Bereavement leave from 1 to 7 days per year based on relationship.
• Paid jury duty leave, as required.
• Learning opportunities and tuition assistance.
• Wellness and well-being programs.

Skills

• Data Engineering
• Change Management
• Defense