Data Bi Engineer Jobs in West Virginia (NOW HIRING)

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Analytics, Business Intelligence Analytics, Business Intelligence Tools, Data Analytics

Certifications:

None

Experience:

7 + years of related experience

US Citizenship Required:

No

Job Description:

Business Intelligence (BI) Developer

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Business Intelligence (BI) Developer will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.

The successful candidate will be responsible for delivering advanced reporting, analytics, visualizations, statistical modeling, and AI/ML capabilities that provide data-driven decision-support tools and actionable insights to users and stakeholders of the CMM application. This role oversees design, development, integration, and continuous enhancement of dashboards, reporting tools, predictive analytics, and AI/ML capabilities in alignment with strict federal compliance requirements.

The Business Intelligence (BI) Developer will execute the following responsibilities:

Reporting & Analytics

• Develop and integrate configurable dashboards, self-service reporting capabilities, and predictive analytics within the CMM application.
• Designs intuitive, interactive dashboards and visualizations that communicate business insights effectively.
• Coordinate and implement data replication or feeds required to support downstream stakeholders and external systems.
• Continuously monitor system performance to ensure 95% or greater of analytical queries meet defined Service Level Agreement (SLA) response times monthly, including dashboard load times of five seconds or less.
• Drive user adoption of dashboards and reporting tools, with monthly usage across targets users.
• Collaborate with product owners, data engineers, and UX designers to ensure seamless integration of analytics features into the CMM user experience.
• Partner with business leaders, data engineers, analysts, and program leadership to translate business requirements and KPIs into actionable technical designs and insights.
• Build and enhance dashboards and reports in approved BI tools, ensuring performance and usability at scale.
• Implement and validate SQL logic, calculations, and metric definitions across reporting products.
• Coordinate with Data Engineering to resolve upstream data issues and curate data for reporting.
• Apply visualization standards and documentation so reports are consistent, interpretable, and support adoption.
• Ensure reporting artifacts comply with privacy, access control, and data handling requirements.
• Establish and enforce data governance frameworks, standards, and best practices ensuring data accuracy, consistency, classification, and security.
• Drive continuous improvement of BI platforms through performance tuning, automation, metadata management, and advanced analytics (predictive and self-service BI).
• Support delivery of architecture design documents, governance artifacts, data lineage, and metadata catalog processes.

AI/ML Capabilities

• Support and consume AI/ML solutions with adherence to government compliance standards.
• Establish, maintain, and oversee a master AI/ML Capability Register documenting all proposed, in-review, approved, and rejected capabilities, including status tracking, submission dates, and authorization history.
• Implement responsible AI/ML practices aligned with federal requirements, ensuring transparency, risk mitigation, fairness, and compliance.

QUALIFICATIONS

• MA/MS degree with 5+ years or BS/BA degree with 7+ years of general experience in information systems and 5+ years of specialized experience.
• Experience may be considered in lieu of degree.
• Expertise in python, SQL & data transformations supporting large-scale analytical data systems.
• Strong hands-on experience with BI tools such as Power BI, Tableau, Qlik, or AWS QuickSight.
• Advanced SQL skills and experience working with analytical data models and semantic layers.
• Experience delivering reporting in regulated or high-sensitivity data environment.
• Experience assisting with testing, by writing acceptance criteria & confirming test cases results.
• Experience with producing relevant and current requirements, sizing user stories correctly, and removing roadblocks prior to sprints start.

COMMUNICATION & ORGANIZATIONAL

• Excellent presentation and communication (oral and written) skills.
• Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationships.
• Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies.
• Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement.
• Demonstrated ability to work effectively, independently, and as part of a team.

CERTIFICATIONS (Preferred)

• Data Visualization and Data Story Telling certifications
• Tableau Certified Data Analyst, Tableau Desktop Specialist
• Power BI Data Analyst
• Story Telling with Data
• Certified Data Management Professional (CDMP)
• Snowflake SnowPro Core
• Databricks Certified Data Professional
• AWS Certified Data Analytics - Specialty
• AWS Certified Solutions Architect - Professional
• AWS Certified Data Engineer

The likely salary range for this position is $128,039 - $173,229. 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:

None

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

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans