Denodo Developer - Data Virtualization Specialist

Genius Road, LLC; Dallas (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Genius Road, LLC is seeking a Denodo Developer to join a data engineering team in Dallas. You will design and maintain views that connect diverse data sources into unified datasets, enabling faster data access without traditional ETL. The role emphasizes performance, SQL/VQL proficiency, and cross-functional collaboration.

The ideal candidate has experience building data services, strong modeling skills, and a track record of optimizing complex queries in an agile environment.

Qualifications

• 4+ years hands-on SQL experience across OLTP, Data Warehouse, and Big Data environments.
• 4+ years as Data Analyst, Data Engineer, or SQL Developer.
• 2+ years writing moderately to highly complex SQL queries and stored procedures.
• 2+ years direct experience with Denodo.
• Track record of applying query optimization techniques to performance problems.
• Experience building REST and SOAP-based data services.
• Strong data modeling and dimensional modeling knowledge.
• Good communication and collaborative skills.

Responsibilities

• Design and build base, derived, integration, and summary views within the Denodo platform.
• Write efficient SQL and VQL to support data transformation across sources.
• Identify and resolve long-running or inefficient queries to improve performance.
• Create monitoring views and dashboards to track health and performance of Denodo environment.
• Translate integration needs with stakeholders into virtual data solutions; produce clear documentation.

Skills

SQL

Denodo

Data Modeling

Performance Tuning

REST/SOAP

Jira/GitLab

VQL

Dimensional Modeling

Tools

Informatica

Ab Initio

PostgreSQL

Hadoop

MongoDB

Cloud Platforms

Job description

Genius Road, LLC is seeking a Denodo Developer to join a data engineering team in Dallas. You will design and maintain views that connect diverse data sources into unified datasets, enabling faster data access without traditional ETL. The role emphasizes performance, SQL/VQL proficiency, and cross-functional collaboration.

The ideal candidate has experience building data services, strong modeling skills, and a track record of optimizing complex queries in an agile environment.