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Remote Denodo 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 ...

Anagh Technologies, Inc.

Angular Lead

$59.50 - $76.25/hr

Pasadena, CA - REMOTE What you will do • Develop front end application code and unit testing in ... Experience with Mem SQL, Oracle, Denodo * Good experience in conducting unit testing and ...

Devoteam

Data & AWS DevSecOps (100% Remote)

Alexis, NC · On-site +1

$59.75 - $76.75/hr

... remote working model from Spain , with a preference for candidates based in Madrid, Barcelona ... Elastic, Kibana, Denodo, Starburst or similar tools will be considered a plus. Informacion ...

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 ...

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 ...

All Jobsremote JobsRemote Denodo Jobs

Remote Denodo information

See salary details

$102K

$135.9K

$143.5K

How much do remote denodo jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote denodo in the United States is $135,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a remote Denodo?

A Remote Denodo job typically refers to a position that involves working with the Denodo Platform, a data virtualization and data integration tool, from a remote location. Professionals in this role design, implement, and maintain Denodo solutions to enable seamless access to various data sources for organizations. Responsibilities may include creating data views, optimizing queries, and ensuring secure data access, all while collaborating virtually with team members. Remote Denodo professionals can work for companies across different industries that require efficient data integration and analytics solutions.

What are the key skills and qualifications needed to thrive as a remote Denodo developer?

To thrive as a Remote Denodo Developer, you need a solid background in data virtualization, SQL, and data integration, typically supported by a degree in computer science or a related field. Experience with the Denodo Platform, knowledge of data warehousing concepts, and relevant certifications like Denodo Certified Professional are highly valuable. Strong problem-solving, self-motivation, and effective communication are essential soft skills for remote collaboration and project delivery. These competencies enable seamless data access, integration, and teamwork across distributed environments, ensuring project success.

What are some common challenges faced by remote Denodo developers and how can they be addressed?

Remote Denodo Developers often encounter challenges such as coordinating with cross-functional teams across different time zones and ensuring secure, reliable access to data sources. Effective communication and proactive status updates are crucial for aligning with data engineers, business analysts, and IT security teams. Using collaboration tools, adhering to best practices for data virtualization, and maintaining strong documentation help minimize misunderstandings and reduce bottlenecks. Additionally, staying updated on Denodo platform updates ensures efficient troubleshooting and solution delivery.

What is the difference between Remote Denodo vs Remote Data Analyst?

AspectRemote DenodoRemote Data Analyst
Required CredentialsExperience with data virtualization, SQL, and Denodo platform certificationsProficiency in data analysis tools, SQL, and statistical software; often a degree in data science or related field
Work EnvironmentPrimarily involves data virtualization, integration, and platform managementFocuses on data interpretation, reporting, and insights generation
Employer & Industry UsageUsed in data integration, enterprise data management, and BI environmentsEmployed in analytics, business intelligence, and decision-making roles

Remote Denodo specialists focus on data virtualization and platform management, while Remote Data Analysts analyze and interpret data to support business decisions. Both roles require strong SQL skills but differ in their core responsibilities and industry applications.

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Remote Denodo jobs near you
Infographic showing various Remote Denodo job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $135,863 per year, or $65.3 per hour.

Data Engineer (Remote)

ECOM

Remote

$117K - $140K/yr

Full-time

Re-posted 20 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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