ICAM Data Engineer – IGA Analytics & Reporting

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.
• Bachelors 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

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 employees 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.