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Data Engineer Consultant Jobs in Seattle, WA (NOW HIRING)

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina ... consulting company with more than 20 years of experience connecting organizations with skilled ...

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you could ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Work you'll do As an AI Engineer Consultant on the HC Forward team, you will design, build, and run ...

NOSQL Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Georgia IT, Inc. is seeking a NOSQL Data Engineer to join their team in Seattle, WA. The role ... Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are looking for a Data Engineer to join the Infrastructure Automation team, responsible ...

Data Engineer

Seattle, WA · On-site

$60 - $65/hr

We are seeking a skilled and detail-oriented Data Engineer to join our team in Seattle, Washington ... Our full-time consultants have access to benefits, including medical, dental, vision, and 401K ...

Data Engineer- Seattle WA

Seattle, WA · On-site

$130K - $156K/yr

Georgia IT, Inc. is seeking a skilled Data Engineer with strong experience in NoSQL databases to ... Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key ...

AWS Cloud Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Company Description Webtellect is an established software consulting firm. We are equivalent to the ... Must have a background in data engineering - Data Warehouse Development experience would be perfect

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Company Description Webtellect is an established software consulting firm. We are equivalent to the ... Must have a background in data engineering - Data Warehouse Development experience would be perfect

Integrate Appian applications with enterprise data sources, application programming interfaces, and third-party systems in secure environments * Participate in Agile delivery activities, including ...

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

Experience and Expertise : 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake ...

AWS Data Engineer (Associate)

Seattle, WA

$130K - $156K/yr

... consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform ...

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

... consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform ...

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

... consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform ...

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Data Engineer Consultant information

See Seattle, WA salary details

$13

$51

$88

How much do data engineer consultant jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data engineer consultant in Seattle, WA is $51.12, according to ZipRecruiter salary data. Most workers in this role earn between $34.47 and $68.41 per hour, depending on experience, location, and employer.

What is a data engineer consultant?

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.

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 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, and often collaborate with data scientists and analysts to optimize data workflows and support business decision-making.

What are popular job titles related to Data Engineer Consultant jobs in Seattle, WA?

For Data Engineer Consultant jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Consultant jobs in Seattle, WA look for?

The top searched job categories for Data Engineer Consultant jobs in Seattle, WA are:

Infographic showing various Data Engineer Consultant job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.

Lead Data Engineer

Lynnwood, WA • On-site

$45 - $55/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Lead Data Engineer – Azure Databricks
Location: Charlotte, North Carolina 28273
Work Arrangement: Onsite, 5 days per week

Let’s Create Our Future Together at The AES Group

The AES Group is a technology and engineering consulting company with more than 20 years of experience connecting organizations with skilled professionals and innovative solutions across cloud, data, AI, and engineering.

Why Join This Opportunity?

  • Lead high-impact enterprise data engineering initiatives
  • Mentor and guide a growing team of data engineers
  • Work with modern Azure Databricks and cloud data technologies
  • Support large-scale data modernization and legacy migration programs
  • Collaborate with technical leaders and business stakeholders
  • Gain exposure to Power BI, MicroStrategy, Delta Lake, Azure DevOps, and data governance frameworks
Position Overview
The AES Group Inc. is seeking an experienced Lead Data Engineer to support one of our enterprise clients. This role will lead the design, development, and optimization of scalable cloud data platforms while establishing engineering standards and mentoring team members.
The ideal candidate will have recent hands-on experience with Azure Databricks, Python, PySpark, SQL, ETL/ELT development, and modern data warehouse architecture.

Key Responsibilities

  • Design and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake.
  • Provide technical leadership, mentoring, and guidance to data engineers.
  • Improve CI/CD pipelines using Azure DevOps, Git, Terraform, and automated deployment frameworks.
  • Establish standards for development, testing, code quality, and release management.
  • Ensure data accuracy through integration, transformation, validation, and cleansing processes.
  • Use Python and PySpark for automation, data processing, and performance optimization.
  • Support migrations from legacy environments to modern cloud data platforms.
  • Translate business and technical requirements into scalable data solutions.
  • Apply governance and security practices using Unity Catalog, Azure RBAC, managed identities, and access controls.
  • Support Power BI reporting environments and provide exposure to MicroStrategy.
  • Participate in on-call support and resolve production issues when required.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent experience.
  • At least 3 years of hands-on Azure Databricks experience.
  • Strong knowledge of current Azure Databricks features and capabilities.
  • At least 5 years of data warehouse analysis, architecture, and design experience.
  • Strong knowledge of dimensional modeling, operational data stores, and enterprise integration.
  • At least 5 years of ETL/ELT development using Python, PySpark, and SQL.
  • Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps.
  • Demonstrated experience leading and mentoring data engineering teams.
  • Strong communication, problem-solving, and stakeholder-management skills.
Preferred Qualifications
  • Databricks Data Engineer Associate or Professional certification.
  • Experience with Unity Catalog, Azure RBAC, managed identities, and data governance.
  • Familiarity with Power BI and MicroStrategy architecture.
  • Experience in regulated, quality-focused, or compliance-driven environments.
Ready to make an impact? Apply now and join us on our journey!