Senior Data Analytics & Data Engineering Lead

Guidehouse Inc.; San Antonio (TX); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Paid Holidays

Job summary

Guidehouse is seeking a data engineering professional to design, develop, and optimize enterprise data lakes, warehouses, and dimensional data models. You will build scalable data ingestion pipelines and support ETL/ELT processes to enable enterprise analytics and reporting.

The role partners with business and technical stakeholders to deliver high-quality data solutions and create semantic data layers that yield actionable insights for decision makers. A Public Trust clearance is required.

Qualifications

• Must be able to OBTAIN and MAINTAIN a Federal or DHS PUBLIC TRUST; candidates must obtain adjudication prior to onboarding.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or 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 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 pipelines

Analytics

ETL/ELT

Education

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

Tools

SEMOSS

CI/CD pipelines

Job description

Guidehouse is seeking a data engineering professional to design, develop, and optimize enterprise data lakes, warehouses, and dimensional data models. You will build scalable data ingestion pipelines and support ETL/ELT processes to enable enterprise analytics and reporting.

The role partners with business and technical stakeholders to deliver high-quality data solutions and create semantic data layers that yield actionable insights for decision makers. A Public Trust clearance is required.