Data Analytics Engineer — ETL, BI & Dashboards

Guidehouse; Charlotte (NC); On-site; USD 90,000 - 125,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Discretionary bonus

Job summary

Guidehouse is seeking a data engineering professional to support analytics across enterprise data lakes, warehouses, and BI platforms. You will design and maintain ETL/ELT pipelines using Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.

The role emphasizes data quality, governance, and BI semantic layers, with dashboards/reports built in Power BI, Tableau, and OAS. You will collaborate with stakeholders to deliver scalable data solutions.

Qualifications

• Bachelor’s degree in a technical field.
• 3+ years of professional experience in data analytics, reporting, data engineering, or BI initiatives.
• Must be able to obtain and maintain a Federal Public Trust before onboarding.

Responsibilities

• Support data analytics, reporting, and data engineering across enterprise data lakes, data warehouses, and BI platforms.
• Design, develop, and maintain ETL/ELT data pipelines for reporting and analytics.
• Utilize Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.
• Perform data quality assessments, troubleshoot data issues, and support governance through metadata documentation and lineage.

Skills

Databricks

SQL

Python

ETL/ELT development

Data governance

Data quality validation

Education

Bachelor's degree in Computer Science / Information Systems / Data Analytics

Tools

ODI (Oracle Data Integrator)

Power BI

Tableau

Oracle Analytics Server (OAS)

Job description

Guidehouse is seeking a data engineering professional to support analytics across enterprise data lakes, warehouses, and BI platforms. You will design and maintain ETL/ELT pipelines using Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.

The role emphasizes data quality, governance, and BI semantic layers, with dashboards/reports built in Power BI, Tableau, and OAS. You will collaborate with stakeholders to deliver scalable data solutions.