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Data Engineering Consultant Jobs (NOW HIRING)

Deloitte

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers ...

Octave

Senior Data Engineering Consultant

They are seeking a highly skilled Data Conversion Specialist responsible for designing, developing, and executing data conversion processes, primarily using SQL Server, to migrate data from legacy ...

EDB

Consultant, Data Engineering

This role is ideal for a high-performing Data Engineer or Analytics Consultant who thrives in a client-facing environment, loves solving complex data puzzles, and wants to deliver cutting-edge data ...

UDig

Consultant, Software Engineering

Richmond, VA

What You'll Bring: * 3-5 years of experience in software or data engineering, ideally with exposure ... Developing consulting instincts -- you think about the client's problem, not just the engineering ...

UDig

Consultant, Software Engineering

Nashville, TN · On-site

What You'll Bring: * 3-5 years of experience in software or data engineering, ideally with exposure ... Developing consulting instincts - you think about the client's problem, not just the engineering ...

hireVouch

Manager, Data Engineering

Manager of Data Engineering Location: Toronto/GTA Company Overview ... Our client is a premier Data Cloud and Business Intelligence consulting company specializing in ...

Trace3

Sr. Platform Engineering Consultant

Denver, CO · On-site

... 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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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
Google Data Engineering Consultant

Google Data Engineering Consultant

Deloitte

Rosslyn, VA • On-site

$130K - $156K/yr

Other

Posted 23 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 AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

Build and support cloud-based data and artificial intelligence solutions on Google Cloud Platform (GCP) for mission-driven client environments. The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers, data scientists, and business stakeholders to translate requirements into technical solutions and support ongoing platform performance and optimization.

As a Data Engineer II on the Government & Public Services team, you will be responsible for:

  • Support the development, testing, and deployment of applications and data pipelines on Google Cloud Platform
  • Configure and maintain GCP services including BigQuery, Cloud Storage, Vertex AI, Cloud Run, and Compute Engine
  • Assist with data preparation, feature engineering, model testing, and model evaluation activities
  • Monitor solution performance, troubleshoot production issues, and support optimization efforts
  • Document technical designs, implementation steps, and operational processes while collaborating with cross-functional teams to translate business requirements into technical solutions

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.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
  • 2+ years of experience in cloud engineering, software engineering, data engineering, or machine learning engineering
  • 2+ years of experience using Python, Java, or SQL
  • 2+ years of experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Vertex AI, Cloud Run, or Compute Engine
  • 2+ years of experience with data pipelines, extract transform load processes, or structured data processing
  • Ability to obtain and maintain a government security clearance
  • 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.

Preferred:

  • Google certifications preferred
  • Experience with Vertex AI, application programming interfaces, or machine learning operations concepts
  • Experience with Git
  • Experience with Docker
  • Google Cloud certification such as Associate Cloud Engineer
  • Experience gained through internships, academic projects, or coursework using Google Cloud Platform
Qualifications:

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

Build and support cloud-based data and artificial intelligence solutions on Google Cloud Platform (GCP) for mission-driven client environments. The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers, data scientists, and business stakeholders to translate requirements into technical solutions and support ongoing platform performance and optimization.

As a Data Engineer II on the Government & Public Services team, you will be responsible for:

  • Support the development, testing, and deployment of applications and data pipelines on Google Cloud Platform
  • Configure and maintain GCP services including BigQuery, Cloud Storage, Vertex AI, Cloud Run, and Compute Engine
  • Assist with data preparation, feature engineering, model testing, and model evaluation activities
  • Monitor solution performance, troubleshoot production issues, and support optimization efforts
  • Document technical designs, implementation steps, and operational processes while collaborating with cross-functional teams to translate business requirements into technical solutions

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.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
  • 2+ years of experience in cloud engineering, software engineering, data engineering, or machine learning engineering
  • 2+ years of experience using Python, Java, or SQL
  • 2+ years of experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Vertex AI, Cloud Run, or Compute Engine
  • 2+ years of experience with data pipelines, extract transform load processes, or structured data processing
  • Ability to obtain and maintain a government security clearance
  • 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.

Preferred:

  • Google certifications preferred
  • Experience with Vertex AI, application programming interfaces, or machine learning operations concepts
  • Experience with Git
  • Experience with Docker
  • Google Cloud certification such as Associate Cloud Engineer
  • Experience gained through internships, academic projects, or coursework using Google Cloud Platform
Education:Bachelor's DegreeEmployment Type:

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