Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Secret Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Business Intelligence (BI) Reporting, Microsoft Power Business Intelligence (BI) Desktop, Microsoft Power Business Intelligence (PBI) Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes Job Description: ICAM Data Engineer – Enterprise Reporting & Power BI Visualization GDIT has an opportunity for a Data Engineer focused on designing, building, and optimizing Power BI reporting solutions that support enterprise Identity Governance & Administration (IGA) analytics. This role centers on transforming complex identity and entitlement datasets into intuitive, high‑value dashboards that enable leadership insights, compliance reporting, access governance visibility, and Zero Trust metrics. While the primary responsibility is Power BI dataset and report development, the role requires a working understanding of upstream ETL processes. This is a fully remote position. Meaningful Work and Personal Impact: The ideal candidate is highly skilled in Power BI and proficient at turning raw data into meaningful visual narratives. You will work closely with data engineers, IGA operations, cybersecurity analysts, and mission stakeholders to ensure identity data is accurately represented and aligned with reporting needs. Your work will directly influence enterprise decision-making, audit readiness, access risk analytics, certification performance metrics, and enterprise security posture. Key Responsibilities: Design, build, and optimize Power BI dashboards, reports, and datasets supporting identity lifecycle, entitlements, access certifications, joiner/mover/leaver activities, and compliance workflows. Create and maintain semantic models, data relationships, DAX measures, and reusable reporting components. Partner with ETL engineers to understand the Azure Synapse data pipelines producing parquet datasets from SailPoint SQL sources. Validate that incoming parquet datasets contain complete, accurate, and appropriately structured data needed for reporting. Collaborate with stakeholders to gather reporting requirements, design prototypes, refine KPIs, and ensure dashboards support mission needs. Establish data quality validation checks and refresh monitoring to ensure accurate and timely reporting outputs. Work with IGA, cybersecurity, and operations teams to align reporting with governance, audit, and Zero Trust requirements. Document semantic models, business logic, data lineage, and visualization standards for enterprise use. Support continuous improvement by recommending enhancements to datasets, transformations, and visualization techniques. Basic Qualifications: Active Secret Clearance at minimum. Interim Secret Clearances are not allowed. Bachelor’s Degree in a related technical discipline and 8 yrs experience, or the equivalent combination of education, technical certifications or training, or work experience. DoD 8140 certification (Security+ CE or higher) Required Skills/Knowledge: Strong hands-on experience designing Power BI dashboards and semantic models Proficiency with DAX, Power Query, data profiling, and visualization best practices Understanding of relational SQL concepts and ability to read/interpret upstream data structures Familiarity with Azure Synapse, data lakes, and parquet datasets (high-level understanding sufficient) Ability to partner with ETL developers to ensure dataset readiness and alignment with reporting needs Strong communication skills for explaining complex data relationships to technical and non-technical audiences Experience documenting reports, models, and data flows Desired Skills/Knowledge: Familiarity with DoD identity ecosystems, authoritative identity governance, and enterprise ICAM modernization efforts Understanding of identity governance metrics, role/entitlement models, access reviews, and certification reporting Exposure to Python, Spark, SQL, or data transformation scripts Familiarity with CI/CD practices for Power BI deployment pipelines Knowledge of Zero Trust analytics, audit reporting, or enterprise compliance frameworks GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace The likely salary range for this position is $127,500 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work: We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world. For more information about GDIT's Privacy Policy, click here: Privacy Policy | GDIT

ICAM Data Engineer – IGA Analytics & Reporting.

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