Data Analytics Developer

Job Family:

Systems Engineering

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust What You Will DoSupport data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and business intelligence platforms.

Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements.

Utilize Databricks, Oracle Data Integrator (ODI), SQL, and Python to integrate, transform, and validate large datasets.

Perform data quality assessments, troubleshoot data issues, and support data governance efforts through metadata documentation and lineage tracking.

Develop and support BI semantic layers to ensure accurate and scalable reporting solutions.

Create and maintain dashboards and reports using tools such as Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms.

Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance activities.

Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.

What You Will Need Must be able to OBTAIN and MAINTAIN a Federal  PUBLIC TRUST ; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related technical field.

Three (3) or more years of professional experience supporting data analytics, reporting, data engineering, or business intelligence initiatives.

Hands-on experience supporting enterprise data lakes, data warehouses, and analytics platforms.

Strong expertise with:

DatabricksETL/ELT development and orchestration

Oracle Data Integrator (ODI)
SQLPython

Data integration and transformation

Data quality validation and monitoring

Metadata management and documentation BI semantic layer development and support

Experience developing reports, dashboards, and visualizations using Power BI, OAS, Tableau, or similar BI tools.

Knowledge of production support processes, including pipeline monitoring, issue resolution, defect management, and operational maintenance.

What Would Be Nice To Have Experience applying AI-enabled tools and technologies to support:

Data modeling and optimization

Anomaly detection

Pipeline automation

Analytics acceleration

Experience with SEMOSS (Semantic Open Source Software).Strong analytical, problem-solving, and communication skills.

Ability to work independently while collaborating effectively with technical and business teams.

Experience supporting cloud-based data and analytics environments.

Familiarity with data governance, master data management, and modern data architecture best practices.

Experience working in large-scale enterprise or federal data environments.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave
401(k) Retirement Plan Group Term Life and Travel Assistance Voluntary Life and AD&D Insurance Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts Transit and Parking Commuter Benefits Short-Term & Long-Term Disability Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities Employee Referral Program Corporate Sponsored Events & Community  annual membership

Employee Assistance Program Supplemental Benefits via Corestream…