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Data Engineering Consultant Jobs (NOW HIRING)

Engineering Consultant Non-Union Position Marketing & Channel Development; Portland, Oregon (US-OR ... Gathering data and performing analysis regarding energy use and building performance. Using this to ...

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

The Consultant partners closely with Solution Design Leads, Architects, Product Managers, and ... Technical Leadership & Standards Influence and evolve the data engineering standards, patterns, and ...

Engineering Consultant Non-Union Position Marketing & Channel Development; Portland, Oregon (US-OR ... Gathering data and performing analysis regarding energy use and building performance. Using this to ...

Engineering Consultant Non-Union Position Marketing & Channel Development; Portland, Oregon (US-OR ... Gathering data and performing analysis regarding energy use and building performance. Using this to ...

The ML Engineering Consultant role involves designing scalable machine learning infrastructure ... data preprocessing and ML techniques • Experience with model evaluation and libraries like ...

Creation and participation in system classification, system risk assessment, Data Integrity ... Sequence Inc. is an engineering consulting firm specializing in ensuring that facilities and ...

... data/AI, security, managed services). * Contribute to the ongoing development and maturation of ... Consulting Platform Engineering offerings, frameworks, and go-to-market (GTM) collateral. Platform ...

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Data Engineering Consultant information

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$11

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$78

How much do data engineering consultant jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data engineering 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 are the key skills and qualifications needed to thrive as a data engineering consultant?

To thrive as a Data Engineering Consultant, you need strong programming skills (e.g., Python, SQL), expertise in data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), ETL tools, and data warehousing systems is typically required, along with relevant certifications. Excellent problem-solving, communication, and project management skills help consultants effectively translate business needs into technical solutions and collaborate with stakeholders. These skills are crucial for designing robust, scalable data architectures that drive actionable insights and meet client objectives.

What are some common challenges faced by data engineering consultants when working with clients, and how can they be addressed?

Data Engineering Consultants often encounter challenges such as integrating data from disparate sources, ensuring data quality, and aligning technical solutions with client business goals. Successfully addressing these issues involves strong communication skills to clarify requirements, a deep understanding of modern data platforms, and the ability to recommend scalable architectures. Building trust with stakeholders and proactively managing expectations are also key to overcoming obstacles and delivering impactful results.

What does a data engineering consultant do?

A Data Engineering Consultant helps organizations design, build, and optimize systems for collecting, storing, and analyzing large volumes of data. They work with clients to understand their data needs, recommend appropriate technologies, and implement solutions that support data-driven decision making. Their role often includes integrating data from different sources, ensuring data quality, and optimizing data pipelines for performance and scalability. Data Engineering Consultants also provide guidance on best practices and may assist in training in-house teams.

What is the difference between Data Engineering Consultant vs Data Analyst?

AspectData Engineering ConsultantData Analyst
Required CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, GCPBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning data pipelines, building infrastructure, working with cloud platformsAnalyzing data sets, creating reports, visualizations, and insights
Employer & Industry UsageTech companies, consulting firms, finance, healthcareMarketing agencies, finance, retail, healthcare

While both roles work with data, Data Engineering Consultants focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide insights. The roles often collaborate but require different skill sets and tools.

More about Data Engineering Consultant jobs
What states have the most Data Engineering Consultant jobs? States with the most job openings for Data Engineering Consultant jobs include:
Infographic showing various Data Engineering Consultant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Microsoft Fabric Architecture & Engineering Consultant

InstantServe LLC

Remote

Full-time

Re-posted yesterday


Job description

Job Title: Microsoft Fabric Architecture & Engineering Consultant
Location: 100% Remote (U.S. Based)
Job Summary:-
We are seeking an experienced Microsoft Fabric Architecture & Engineering Consultant to support an enterprise-wide analytics modernization initiative. The ideal candidate will possess deep expertise in Microsoft Fabric architecture, data engineering, governance, security, and enterprise analytics solutions. This consultant will be responsible for designing, validating, implementing, and optimizing Microsoft Fabric capabilities while establishing best practices, governance standards, and deployment strategies.
Required Experience:-
  1. Minimum 5+ years of hands-on experience with modern Microsoft data and analytics platforms.
  2. Strong experience designing enterprise data platforms using Microsoft Fabric.
  3. Experience with Power BI architecture and enterprise reporting solutions.
  4. Expertise in Lakehouse, Warehouse, and OneLake implementations.
  5. Experience implementing governance, security, and deployment best practices.
  6. Strong background in data engineering and analytics modernization initiatives.
  7. Experience working with enterprise-scale cloud data platforms.

Preferred Qualifications:-
  1. Experience with Microsoft Azure data services.
  2. Experience with Microsoft Purview.
  3. Experience implementing enterprise analytics solutions.
  4. Excellent communication and stakeholder management skills.
  5. Ability to lead architecture discussions and mentor technical teams.
  6. Experience delivering technical documentation and executive presentations.

InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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