Senior Data Analytics Engineer - Data Lakes & Dashboards

Guidehouse; Charlotte (NC); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Learning Opportunities

Discretionary bonus potential

Job summary

Guidehouse in Charlotte, NC is seeking a data engineer to design, develop, and optimize enterprise data lakes, warehouses, and analytics platforms. You will build secure data ingestion pipelines, develop ETL/ELT processes, and collaborate with stakeholders to deliver high-quality data solutions that drive business insights.

Travel up to 10% and eligibility for a public trust are required. This role offers exposure to modern data tools, cloud environments, and opportunities to influence

Qualifications

• Public trust eligibility and ability to obtain/maintain
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field
• 3+ years of experience designing, developing, and optimizing enterprise data platforms

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

Data warehousing

Data pipelines

Stakeholder collaboration

Education

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

Tools

SEMOSS

CI/CD pipelines

Job description

Guidehouse in Charlotte, NC is seeking a data engineer to design, develop, and optimize enterprise data lakes, warehouses, and analytics platforms. You will build secure data ingestion pipelines, develop ETL/ELT processes, and collaborate with stakeholders to deliver high-quality data solutions that drive business insights.

Travel up to 10% and eligibility for a public trust are required. This role offers exposure to modern data tools, cloud environments, and opportunities to influence