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Data Engineering Consultant Jobs (NOW HIRING)

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

Deloitte is a leading professional services firm that is seeking a Google Data Engineering Consultant to join their AI & Engineering team. In this role, you will help clients modernize technology ...

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 ...

Trace3

Sr. Platform Engineering Consultant

Denver, CO

... 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 Jul 14, 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 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:
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
Infographic showing various Data Engineering Consultant job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.
Google Data Engineering Consultant

Google Data Engineering Consultant

Deloitte

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 14 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that is seeking a Google Data Engineering Consultant to join their AI & Engineering team. In this role, you will help clients modernize technology platforms by designing and delivering cloud-based data and AI solutions on Google Cloud Platform, collaborating with multidisciplinary professionals to support enterprise transformation.
Responsibilities:
• 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
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
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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