Senior Data Analytics Engineer - Data Lakes & Dashboards

Guidehouse; Atlanta (GA); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Job summary

Guidehouse is seeking a Data Engineer to design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models in a US-based role. You will build secure, scalable data ingestion pipelines and support analytics needs with ETL/ELT processes using modern tools and platforms.

The role collaborates with business and technical stakeholders to deliver high-quality data solutions and actionable insights through reports, dashboards, and semantic layers.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
• Three or more years of experience designing, developing, and optimizing enterprise data platforms.
• Must be able to OBTAIN and MAINTAIN a Federal or DHS PUBLIC TRUST.
• ACTIVE PUBLIC TRUST or SUITABILITY preferred.

Responsibilities

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

Skills

Data modeling

ETL/ELT development

Python/SQL

Cloud data platforms

Stakeholder collaboration

Data quality & governance

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field

Job description

Guidehouse is seeking a Data Engineer to design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models in a US-based role. You will build secure, scalable data ingestion pipelines and support analytics needs with ETL/ELT processes using modern tools and platforms.

The role collaborates with business and technical stakeholders to deliver high-quality data solutions and actionable insights through reports, dashboards, and semantic layers.