Delivery Analyst - AI & Data Engineering

OverviewConfidential Client is hiring an entry-level Delivery Analyst focused on AI & Data Engineering Solutions for its US Delivery Center. This role supports Government & Public Services engagements from a delivery center in Gilbert, AZ, helping design, build, and maintain scalable data systems that enable data-driven decision-making and automation.What You’ll DoSupport design, development, and maintenance of scalable data pipelines and platforms from the delivery centerConvert raw data into reusable, high-quality datasets and automated workflowsAssist with integration across cloud and on-prem platforms, data ingestion, transformation, and quality controlsContribute to documentation, runbooks, and operational playbooks for delivered solutionsCollaborate with cross-functional teams (data engineers, analysts, product owners, security) to deliver client objectivesParticipate in solution testing, troubleshooting, and performance tuning to ensure reliability at scaleHelp automate repetitive tasks and improve delivery efficiency using scripting and platform toolsCommunicate progress, risks, and dependencies clearly to project leads and stakeholdersWho You Are / Required QualificationsMust be currently enrolled in an accredited college or university expected to graduate by Summer 2027, or hold a bachelor’s degree or higher in Computer Science, Machine Learning, Data Engineering, or an equivalent program3.0 cumulative GPA required (3.2 preferred)Strong written and verbal communication skillsDemonstrated ability to work independently and as part of a teamMeticulous attention to detail and quality in deliverablesAbility to manage and prioritize multiple tasks in a fast-paced environmentComfortable leading small projects or workstreams and providing clear guidance to teammatesReside within a commutable distance (approximately 100-mile radius) of the assigned Gilbert, AZ delivery location and able to commute daily if requiredWillingness to co-locate in the designated Delivery location up to ~30% of the time; may include up to ~10% overnight client/project travelAbility to obtain and maintain a U.S. Security ClearanceMust be legally authorized to work in the United States without employer sponsorship now or in the futureMust be at least 18 years of age at the time of employmentPreferred ExperienceInternship, project, or coursework experience in computer science, machine learning, or data engineeringFamiliarity with data pipeline tools, cloud platforms, SQL, Python, or similar technologiesExposure to data quality frameworks, ETL/ELT patterns, and version control (Git)Team & ImpactYou will join a team focused on modernizing public-sector systems and improving outcomes for government clients. The US Delivery Center model emphasizes structured teaming, knowledge sharing, and delivering measurable value through technology and process improvements. This role is a strong first step for candidates building consulting and technical delivery careers.Compensation & LogisticsThis is a full-time, permanent position based in Gilbert, AZ (US).A reasonable estimate of the current salary range for this role is $70,000 to $73,000 per year. This range is provided by Confidential Client and may be adjusted based on skills, experience, and other factors.Recruiting for this role is open through 2026-10-25. Start dates will depend on business needs and candidate availability.Notes for ApplicantsThis is an entry-level opportunity welcoming candidates from diverse educational and professional backgrounds who meet the listed qualifications.Candidates must be able to obtain/maintain a U.S. security clearance and must not require employer sponsorship for employment authorization.Confidential Client and Careertakes are committed to clear, lawful hiring practices across U.S. locations. Reasonable accommodations are available for applicants with disabilities; please request accommodations during the recruiting process.Equal Opportunity & Hiring TransparencyCareertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.If you have questions about how your data is used, please contact us directly.