Data Analytics Engineer: ETL Pipelines & BI Dashboards

Guidehouse; Beavercreek (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Discretionary variable incentive bonus

Job summary

Guidehouse seeks a data engineer to support analytics, reporting, and data engineering across enterprise data lakes, warehouses, and BI platforms. You will design and maintain ETL/ELT pipelines using Databricks, ODI, SQL and Python to transform large datasets and ensure data quality.

You will build and support BI semantic layers and dashboards with Power BI, Tableau, and Oracle Analytics Server, collaborating with stakeholders across teams to deliver scalable solutions.

Qualifications

• Bachelor’s degree in a relevant technical field.
• 3+ years of experience in data analytics, reporting, or BI.
• Experience with enterprise data lakes and data warehouses.
• Strong expertise with Databricks, ODI, SQL, and Python.
• Knowledge of metadata management and data governance.

Responsibilities

• Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and BI platforms.
• Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements.
• Utilize Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.
• Perform data quality assessments, troubleshoot data issues, and support data governance through metadata documentation and lineage tracking.
• Develop and support BI semantic layers to ensure accurate and scalable reporting solutions.
• Create and maintain dashboards and reports using Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms.
• Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance.
• Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.

Skills

Databricks

ODI

SQL

Python

Data governance

BI reporting

Data quality

Education

Bachelor's degree in a related technical field

Tools

Power BI

Tableau

Oracle Analytics Server (OAS)

ETL/ELT tooling

Job description

Guidehouse seeks a data engineer to support analytics, reporting, and data engineering across enterprise data lakes, warehouses, and BI platforms. You will design and maintain ETL/ELT pipelines using Databricks, ODI, SQL and Python to transform large datasets and ensure data quality.

You will build and support BI semantic layers and dashboards with Power BI, Tableau, and Oracle Analytics Server, collaborating with stakeholders across teams to deliver scalable solutions.