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Executive Data Engineer Consultant Jobs (NOW HIRING)

Indicium AI

Data Engineer Consultant - NYC

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a Data Engineer Consultant responsible for developing, implementing, and maintaining scalable data solutions, ensuring data integration, security, and reliability to support advanced ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers * Participate in requirements gathering sessions ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers * Participate in requirements gathering sessions ...

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How much do executive data engineer consultant jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for executive data engineer consultant in the United States is $48.92, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $55.05 per hour, depending on experience, location, and employer.
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Executive Data Engineer Consultant jobs near you
Data Engineer Consultant

Data Engineer Consultant

Infinite Resource Solutions

Orlando, FL

Other

Posted 2 days ago

Job description

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions.

You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management.

-Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis.

-Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred

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