Data Analytics Engineer - ETL, BI & Data Pipelines

Navigant; San Antonio, Northern (TX, KY); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Health insurance

Parental leave

401(k) retirement plan

Tuition reimbursement

Job summary

Guidehouse is seeking a Data Analytics Developer to support analytics, reporting, and data engineering across enterprise data lakes 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 develop BI semantic layers and dashboards with Power BI, OAS, Tableau, and other tools, while monitoring production pipelines and collaborating with business and technical teams to deliver scalable

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related technical field.
• Three or more years of professional experience in data analytics, reporting, data engineering, or BI initiatives.
• Hands-on experience supporting enterprise data lakes, data warehouses, and analytics platforms.
• Strong expertise with: Databricks, ETL/ELT development and orchestration, ODI, SQL, Python, data integration and transformation, data quality validation and monitoring, metadata management and documentation, BI semantic layer development and support.
• Experience developing reports, dashboards, and visualizations using Power BI, Oracle Analytics Server (OAS), Tableau, or similar BI tools.
• Knowledge of production support processes, including pipeline monitoring, issue resolution, defect management, and operational maintenance.
• Experience applying AI-enabled tools to data modeling, anomaly detection, pipeline automation, and analytics acceleration.
• Experience with SEMOSS (Semantic Open Source Software).
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently while collaborating with technical and business teams.
• Experience supporting cloud-based data and analytics environments.
• Familiarity with data governance and modern data architecture best practices.

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 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 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, OAS, Tableau, and other enterprise tools.
• Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support operations.
• Collaborate with stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.

Skills

Databricks

SQL

Python

ETL/ELT

ODI

Data integration

Data quality

Metadata management

BI semantic layer

Power BI/Tableau

Education

Bachelor’s degree

Tools

ODI

Databricks

Tableau

Power BI

Job description

Guidehouse is seeking a Data Analytics Developer to support analytics, reporting, and data engineering across enterprise data lakes 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 develop BI semantic layers and dashboards with Power BI, OAS, Tableau, and other tools, while monitoring production pipelines and collaborating with business and technical teams to deliver scalable