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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 ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Provide data engineering consulting expertise, especially in Starburst and Immuta. * Support data migration activities. Key Deliverables : * Completion of assigned stories, including design, data ...

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How much do data engineer consultant jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data engineer consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, cloud platforms, and strong programming knowledge can earn $300,000 or more annually. Compensation varies based on industry, location, and company size, often including bonuses and stock options.

What does a data engineer consultant do?

A data engineer consultant designs, builds, and maintains data pipelines and infrastructure to ensure efficient data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to optimize data workflows and support data analysis and business decision-making.

Can I make 200K as a data engineer?

Data engineer consultants with extensive experience, advanced skills in big data tools, and certifications can potentially earn salaries of $200,000 or more, especially in high-demand markets. Salary levels depend on factors such as location, industry, and the complexity of projects handled.

What are the typical responsibilities of a Data Engineer Consultant on a client project?

As a Data Engineer Consultant, your daily tasks often involve analyzing client data requirements, designing and building scalable data architectures, and developing ETL processes to ensure high-quality data flow. You will frequently collaborate with client stakeholders, data scientists, and other IT professionals to understand business needs and implement effective solutions. In addition, you may be responsible for troubleshooting data issues, optimizing performance, and providing technical guidance during deployments. This dynamic role provides opportunities to work on varied projects, expand your expertise with new tools, and contribute directly to clients’ data-driven strategies.

What are the key skills and qualifications needed to thrive in the Data Engineer Consultant position, and why are they important?

To thrive as a Data Engineer Consultant, you need strong skills in data modeling, ETL pipeline development, database management, and proficiency in programming languages like Python or SQL, usually backed by a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, Azure, GCP), and certifications in these tools are highly valued. Excellent problem-solving, communication, and client management skills help you design effective solutions and convey complex technical concepts to stakeholders. These competencies ensure you can build robust data infrastructures that support business objectives across diverse client environments.

What engineer makes $500,000 a year?

A senior data engineer with extensive experience, specialized skills in big data tools, and working in high-paying industries or companies can earn $500,000 or more annually. Such roles often require advanced certifications, leadership responsibilities, and a strong understanding of data architecture and cloud platforms.

What is a Data Engineer Consultant job?

A Data Engineer Consultant designs, builds, and optimizes data pipelines and infrastructure to help organizations manage and analyze their data efficiently. They work with various technologies, such as databases, cloud platforms, and big data tools, to ensure data is accessible, reliable, and well-structured. Additionally, they provide strategic guidance on best practices, scalability, and performance tuning. Their role blends technical expertise with advisory responsibilities to help businesses make data-driven decisions.

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Data Engineer Consultant jobs near you
Data Engineer Consultant

Data Engineer Consultant

Infinite Resource Solutions

Orlando, FL • On-site

Other

Re-posted yesterday

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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