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Data Engineering Consultant Jobs (NOW HIRING)

Lovelytics

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

We\'re the first consulting firm backed by Databricks Ventures -- which tells you something about ... We're looking for a Data Engineering Architect to design and lead the build-out of modern, scalable ...

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

Experience working with consulting partners (Deloitte preferred) and distributed onshore/offshore ... Serve as the delivery lead for one of the core data engineering tracks (Semantic layer/reporting)

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer #1056187 Position Description: Employees in this job function are ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

GATE Energy

Engineering Consultant

Houston, TX · On-site

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer Equal ...

GATE Energy

Engineering Consultant

Houston, TX · On-site

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer

HireScale

AI Engineering Consultant

San Francisco, CA · On-site

This is a hands-on role for a consultant who can operate across the full lifecycle: * Rapidly ... Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) * Collaborate ...

HireScale

AI Engineering Consultant

New York, NY

This is a hands-on role for a consultant who can operate across the full lifecycle: * Rapidly ... Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) * Collaborate ...

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Data Engineering Consultant information

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How much do data engineering consultant jobs pay per hour?

As of Jun 21, 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, and why are they important?

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 engineers make $500,000?

Senior data engineering consultants and highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn $500,000 or more annually, especially in high-cost-of-living areas or within top-tier firms. Achieving this level typically requires extensive experience, certifications, and a strong track record of delivering complex data solutions.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and pipeline management, but it does not replace the need for skilled professionals to design, implement, and oversee complex data systems. Data engineers are essential for integrating AI tools effectively and ensuring data quality, security, and compliance in organizations. Their expertise remains critical in managing infrastructure, optimizing workflows, and supporting data-driven decision-making.

What engineers make 300,000 a year?

Senior data engineering consultants and specialized data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $300,000 or more annually. High compensation often reflects leadership roles, complex project responsibilities, or working in competitive industries such as finance or technology.

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 does a data engineer consultant do?

A data engineer consultant designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They work with tools like SQL, Python, and cloud platforms to optimize data workflows and ensure data quality for organizations' analytics needs.

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:
What job categories do people searching Data Engineering Consultant jobs look for? The top searched job categories for Data Engineering Consultant jobs are:
Data Engineering Consultant jobs near you
Delivery Consultant, Data Engineering and Gen AI

Delivery Consultant, Data Engineering and Gen AI

Deloitte

Mechanicsburg, PA

Other

Posted 2 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's Government & Public Services (GPS) practice as a Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Delivery Consultant, Data Engineering GenAI on the AI & Data team, you will be responsible for...

  • Designing, building, testing, and maintaining data pipelines and data integration workflows
  • Supporting the development and deployment of cloud-based data engineering solutions for analytics and artificial intelligence use cases
  • Preparing, transforming, and validating structured and unstructured data for downstream reporting, modeling, and operational use
  • Collaborating with cross-functional teams to troubleshoot issues, improve data quality, and optimize platform performance
  • Documenting technical designs, development activities, and production support procedures in alignment with project standards

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Mathematics, or Engineering
  • 3+ years of experience designing, building, and supporting data pipelines and data integration solutions
  • 3+ years of experience with Python and Structured Query Language
  • 2+ years of experience with cloud-based data engineering tools or platforms
  • 1+ year of experience supporting artificial intelligence or generative artificial intelligence data use cases
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain the required clearance for this role 

Preferred:

  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience with Agentic AI development
  • Experience with Apache Spark, Databricks, or distributed data processing frameworks
  • Experience supporting large language model, vector database, or retrieval-augmented generation implementations
  • Experience serving government or public sector clients
Qualifications:

Join Deloitte's Government & Public Services (GPS) practice as a Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Delivery Consultant, Data Engineering GenAI on the AI & Data team, you will be responsible for...

  • Designing, building, testing, and maintaining data pipelines and data integration workflows
  • Supporting the development and deployment of cloud-based data engineering solutions for analytics and artificial intelligence use cases
  • Preparing, transforming, and validating structured and unstructured data for downstream reporting, modeling, and operational use
  • Collaborating with cross-functional teams to troubleshoot issues, improve data quality, and optimize platform performance
  • Documenting technical designs, development activities, and production support procedures in alignment with project standards

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Mathematics, or Engineering
  • 3+ years of experience designing, building, and supporting data pipelines and data integration solutions
  • 3+ years of experience with Python and Structured Query Language
  • 2+ years of experience with cloud-based data engineering tools or platforms
  • 1+ year of experience supporting artificial intelligence or generative artificial intelligence data use cases
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain the required clearance for this role 

Preferred:

  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience with Agentic AI development
  • Experience with Apache Spark, Databricks, or distributed data processing frameworks
  • Experience supporting large language model, vector database, or retrieval-augmented generation implementations
  • Experience serving government or public sector clients
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