Data Engineer

Location: Seattle, WA (onsite) • Salary: USD 62,900 - 153,300 per year • Education: Bachelor's degree • Experience: 8+ years

Responsibilities

• Oversee data collection, integration, normalization, and standard analysis across multiple projects and platforms, coordinating with internal and external stakeholders.
• Design, maintain, evaluate, and test data solutions within the organization to meet evolving needs.
• Develop and implement policies and practices that safeguard, maximize the value of, and preserve the integrity of data assets and programs.
• Collect, store, process, and analyze raw and complex data from diverse sources; advocate data-driven use cases and design optimal data solutions; build processing systems leveraging data warehousing and modern database technologies.
• Maintain and monitor data quality across the enterprise architecture; report results and propose system changes to improve data quality across applications.
• Investigate data quality issues, determine root causes, correct errors, and create prototypes or process improvement plans and proofs of concept for selected solutions.
• Process unstructured data for analysis and integrate innovations and algorithms into data systems in collaboration with engineering teams.
• Lead complex data projects focused on collecting, parsing, managing, analyzing, and visualizing large data sets to generate insights across platforms.
• Assess hardware and software design needs and act on decisions to support data architecture requirements.
• Serve as a data subject matter expert, partnering with business owners or external clients to define analysis plans and deliver reporting results and insights.

Requirements

• Bachelor's degree and 8+ years of related experience.
• U.S. citizenship with an active Secret clearance.
• Experience coordinating data collection, compilation, normalization, and standard analysis across diverse data platforms.
• Experience developing, maintaining, evaluating, and testing data solutions.
• Expertise building data pipelines that collect, store, process, and analyze structured and unstructured data.
• Knowledge of data warehousing concepts, architectures, and database technologies.
• Ability to design, implement, and manage complex data processing projects.
• Strong analytical skills to generate insights, operational reports, and data-driven recommendations.
• Ability to collaborate with stakeholders and act as a data subject matter expert.
• Excellent communication for presenting complex analytics to varied audiences.
• Strong problem solving abilities and high attention to detail.
• Proven ability to work independently and effectively in a collaborative, mission-focused environment.
• Experience working with the Air Force.
• Familiarity with handling medical data and following HIPPA requirements.
• Understanding of data governance, protection, and 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 investigate root-cause issues.

Benefits

• Competitive compensation with profit participation program.
• Comprehensive medical, dental, and vision coverage.
• Basic life and accidental death and dismemberment insurance.
• 401(k) matching contributions and CGI share purchase plan.
• Flexible vacation, 10 to 20 days per year based on level, experience, and tenure.
• 80 hours of floating holiday leave per year to observe key holidays.
• At least 80 consecutive hours of paid sick/safe leave, subject to applicable laws.
• Paid parental leave, 20 to 70 consecutive business days depending on circumstances and laws.
• Bereavement leave, 1 to 7 days per year based on relationship.
• Paid jury duty leave, up to the time you are summoned.
• Learning opportunities and tuition assistance.
• Wellness and well-being programs.

Skills

• Data Engineering
• Change Management
• Defense