Senior Data Analytics Engineer Data Lakes, ETL & Dashboards

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

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Group Term Life and Travel Assistance

Tuition Reimbursement, Personal Dev, &

Job summary

Guidehouse is seeking a data engineer to design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models in Atlanta. You will build secure, scalable data ingestion and integration pipelines to support analytics and reporting needs, and develop ETL/ELT processes using modern tools and platforms.

The role partners with business and technical stakeholders to deliver high-quality data solutions and enable data-driven decision making, while creating reports,

Qualifications

• Must obtain and maintain a Federal or DHS Public Trust.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
• Three (3) or more years of experience designing, developing, and optimizing enterprise data platforms and analytics solutions.

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 engineering

ETL/ELT design

Data lakes/data warehouses

Analytics

Stakeholder collaboration

Education

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

Tools

SEMOSS

Job description

Guidehouse is seeking a data engineer to design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models in Atlanta. You will build secure, scalable data ingestion and integration pipelines to support analytics and reporting needs, and develop ETL/ELT processes using modern tools and platforms.

The role partners with business and technical stakeholders to deliver high-quality data solutions and enable data-driven decision making, while creating reports,