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Denodo Data Engineer Jobs (NOW HIRING)

ECOM

Data Engineer (Remote)

$117K - $140K/yr

... Denodo, etc.) • Utilize data visualization tools (PowerBI, Tableau, etc.) • Participate in Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD) • Work with data storage technologies ...

CEI

Data Engineer

Richmond, VA · On-site

$100K - $120K/yr

Experience with data virtualization tools (e.g., Denodo, Composite, Dremio, Starburst). * Experience with DataOps practices, CI/CD, and observability. * Required 5 to 7+ years of Data Engineering ...

AA2IT

Denodo Software Engineer

Weehawken, NJ · On-site

Job Summary : AA2IT is a company focused on data virtualization and cloud services, and they are seeking a Denodo Software Engineer to join their WMA Data Foundations team. The role involves ...

Kanak Elite Services Inc

Denodo Developer

Tulsa, OK · On-site

The Denodo engineer is responsible for requirements gathering, data architecture, integration guidance and developing support artifacts. This resource has skills and experience building a sustainable ...

Texas Instruments Incorporated

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

Familiarity with data virtualization software such as Denodo * Familiarity with dashboard reporting ... Engineer your future. We empower our employees to truly own their career and development. Come ...

Texas Instruments

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

Familiarity with data virtualization software such as Denodo * Familiarity with dashboard reporting ... Engineer your future. We empower our employees to truly own their career and development. Come ...

CloudBCLabs

Denodo Developer/Lead

Houston, TX · On-site

The company specializes in Business and Management Consulting, AI/ML, Data Analytics ... Title: Lead Denodo Consultant Houston, TX Onsite Final interview will be onsite at Houston, TX ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Deliver ETL pipelines while coordinating with other ETL engineers onshore and offshore. Design ... Denodo(data virtualization), RProgramming; Cloud Technology: AWS, Azure, Databricks, and Snowflake;

Voya Financial, Inc.

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Deliver ETL pipelines while coordinating with other ETL engineers onshore and offshore. Design ... Denodo(data virtualization), RProgramming; Cloud Technology: AWS, Azure, Databricks, and Snowflake;

Bayer

Sr Data Governance Architect

Creve Coeur, MO · Remote

$65.50 - $87.50/hr

In this role, you will work with architects, innovation managers, digital leads, data engineers and ... Denodo/Data Virtualization QA experience within software or data development contexts Data ...

Bayer Inc.

Sr Data Governance Architect

Creve Coeur, MO · Remote

$65.50 - $87.50/hr

In this role, you will work with architects, innovation managers, digital leads, data engineers and ... Specific knowledge of Google Big Query, Data Historian and Denodo/Data Virtualization * QA ...

ECOM

Senior Data Engineer (Remote)

$108K - $147K/yr

... Denodo, etc.) • Experience with data visualization tools (PowerBI, Tableau, etc.) • Experience with Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD) • Experience with data ...

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Denodo Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do denodo data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for denodo data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Denodo data engineer?

A Denodo Data Engineer is a professional who specializes in using the Denodo Platform, a data virtualization tool, to integrate, manage, and deliver data from disparate sources without physically moving the data. They design and implement virtual data layers, optimize data queries, and ensure secure and efficient access to real-time data for business intelligence, analytics, and reporting. Denodo Data Engineers collaborate with data architects, analysts, and other IT professionals to streamline data workflows and support enterprise data strategies.

How does a Denodo data engineer typically collaborate with business analysts and data scientists on data integration projects?

A Denodo Data Engineer works closely with business analysts and data scientists by designing and implementing data virtualization solutions that provide unified, real-time access to data from diverse sources. They frequently participate in requirement-gathering sessions, help define data models, and ensure that the virtualized data meets analytical needs. Collaboration often involves translating business requirements into technical specifications, troubleshooting data quality or performance issues, and iterating on data views to support evolving analytics use cases. Effective communication and a strong understanding of both business objectives and technical constraints are key to successful teamwork in this role.

What are the key skills and qualifications needed to thrive as a Denodo data engineer, and why are they important?

To thrive as a Denodo Data Engineer, you need strong skills in data integration, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with the Denodo Platform, data virtualization concepts, and experience with ETL tools and cloud services are essential, and certification such as Denodo Platform certification is highly valued. Problem-solving abilities, attention to detail, and effective communication are important soft skills for bridging business and technical requirements. These skills ensure efficient data delivery, robust data solutions, and seamless collaboration across teams in data-driven environments.

What are popular job titles related to Denodo Data Engineer jobs?

For Denodo Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Denodo Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (Remote)

Remote

ECOM
IT Services • 51 - 200 employees
Learn more about ECOMexternal

$117K - $140K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
ECOM is a company focused on digital transformation in the agriculture industry. They are seeking a Data Engineer to build a data lake using AWS stack, integrate data sources, and support analytics projects in a collaborative team environment.
Responsibilities:
• Develop and deploy large scale advanced analytics applications into a production environment
• Collaboratively develop code in object-oriented language for a production environment
• Work in Linux environment (bash scripting)
• Utilize SQL for Data Normalization
• Implement Python for data processing
• Understand and apply Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.)
• Employ data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
• Create effective data visualizations using advanced data visualization tools
• Rapidly develop proof of concepts and test new ideas, scaling them into production ready models
• Leverage cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure
• Utilize AWS big data services (Kinesis, Glue, EMR, Spectrum etc.)
• Work with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.)
• Implement data virtualization technologies (Denodo, etc.)
• Utilize data visualization tools (PowerBI, Tableau, etc.)
• Participate in Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD)
• Work with data storage technologies (Redshift, S3, Hadoop, Graph, etc.)
• Use multiple languages and syntax (Python, SQL, Apache Spark, etc.)
• Manage Container based orchestration of big data pipelines
• Implement Rest APIs for pulling or pushing data to/from internal and external applications.
Qualifications:
Required:
• A minimum of three years developing and deploying large scale advanced analytics applications into a production environment
• Minimum of five years, hands-on experience collaboratively developing code in object-oriented language for a production environment, including:
• Experience working in Linux environment (bash scripting)
• SQL (Data Normalization)
• Python
• Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.)
• Experience in data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
• Advanced experience in data visualization tools with a strong grasp of effective data modeling and visualization practices
• Experience rapidly developing proof of concepts and testing new ideas, as well as scale these ideas into production ready models
• Experience leveraging cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure
Preferred:
• Advanced, relevant education, advanced Degree (Masters or PhD) in engineering, mathematics, physics, economics, computer science, statistics, or business analytics
• Experience with AWS big data services (Kinesis, Glue, EMR, Spectrum etc.)
• Experience with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.)
• Experience with data virtualization technologies (Denodo, etc.)
• Experience with data visualization tools (PowerBI, Tableau, etc.)
• Experience with Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD)
• Experience with data storage technologies (Redshift, S3, Hadoop, Graph, etc.)
• Experience with cloud Platforms (AWS, Azure, Google)
• Experience with multiple languages and syntax (Python, SQL, Apache Spark, etc.)
• Experience with Container based orchestration of big data pipelines
Company:
Ecom finds their Clients the right IT experts with the right qualifications. Founded in 2018, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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