Senior Data Platform Engineer — Lakes, Warehouses & Dashboards

Guidehouse; Huntsville (AL); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Parental Leave

Career Development

HSA Health Benefits

Job summary

Guidehouse is seeking a data engineering professional to design, build, and optimize enterprise data lakes, data warehouses, and dimensional data models to enable analytics across the organization.

You will develop secure, scalable data ingestion pipelines and ETL/ELT processes while collaborating with business and technical stakeholders to deliver high-quality data solutions and actionable insights through reports and semantic data layers.

Qualifications

• Requires at least 3+ years designing and optimizing enterprise data platforms.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
• Public trust eligibility is mandatory; candidates must obtain adjudication prior to onboarding.

Responsibilities

• Design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models.
• Build and maintain secure, scalable data ingestion and integration pipelines for analytics and reporting.
• Develop and support ETL/ELT processes using modern data engineering tools and platforms.
• Partner with business and technical stakeholders to deliver high-quality data solutions and enable data-driven decisions.
• Create and support reports, dashboards, and semantic data layers for actionable insights.

Skills

Data modeling

AI-enabled tools

Anomaly detection

Automated pipeline development

DevSecOps

CI/CD

Education

Bachelor’s degree in CS/IS/Engineering/Data Analytics

Tools

SEMOSS

Cloud platforms

Job description

Guidehouse is seeking a data engineering professional to design, build, and optimize enterprise data lakes, data warehouses, and dimensional data models to enable analytics across the organization.

You will develop secure, scalable data ingestion pipelines and ETL/ELT processes while collaborating with business and technical stakeholders to deliver high-quality data solutions and actionable insights through reports and semantic data layers.