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

Globenet Consulting Corp

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

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 ...

Visa

Lead Data Engineer

Bellevue, WA · On-site

$173K/yr

The Lead Data Engineer is a senior technical leader responsible for guiding the design, development, and optimization of Visa's largescale data platforms and cloud-based analytics environments. This ...

PitchBook Data

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Lead the design and development of scalable data pipelines and workflows that support Data ... Partner with Product, Engineering, and Data Platform teams to align architecture and shared ...

Deloitte

Lead Data Engineer

Seattle, WA

$116K - $153K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Lead Data Engineer \\n Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data ...

Visa

Lead Data Engineer

Bellevue, WA · Hybrid

The Opportunity We are seeking a Lead Data Engineer to define and drive the vision for VAS Data Foundations-a hybrid, AIready platform that consolidates company wide data into a unified, governed ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

Lead Data Engineer Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer:

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$116K - $153K/yr

Lead the design and development of scalable data pipelines and workflows that support Data ... Partner with Product, Engineering, and Data Platform teams to align architecture and shared ...

GSPANN Technologies

Lead Data Engineer

Seattle, WA · On-site

$116K - $153K/yr

... Data Engineer(Certified DBT Candidate) Location-Seattle, WA Job Type-Long Term Contract * AWS Redshift as DW. * DBT for transformation and execution * Data Hub (Acryl) as data lineage. * We have ...

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

Key job responsibilities As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable ...

The Walt Disney Company

Lead Data Architect

Seattle, WA · On-site

$155K - $208K/yr

Lead Data Architect Req ID: 10151032 Department Description At Disney, we're storytellers. We make ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and ... Lead the integration of cloudnative data services eg Azure Synapse ADLS Azure SQL Cosmos DB into ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

Lead the research, design, and development of data solutions to address analytical, research, and clinical data requirements, ensuring system scalability, security, performance and reliability.

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Showing results 1-20

All JobsLead Data Engineer JobsLead Data Engineer Jobs in Seattle, WA

Lead Data Engineer information

See Seattle, WA salary details

$48.4K

$140.9K

$205.4K

How much do lead data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for lead data engineer in Seattle, WA is $140,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $153,600.00 per year, depending on experience, location, and employer.

How does a Lead Data Engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What are the key skills and qualifications needed to thrive as a Lead Data Engineer, and why are they important?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are Lead Data Engineers?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.
What are the most commonly searched types of Lead Data Engineer jobs in Seattle, WA? The most popular types of Lead Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Lead Data Engineer jobs in Seattle, WA? For Lead Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Lead Data Engineer jobs in Seattle, WA look for? The top searched job categories for Lead Data Engineer jobs in Seattle, WA are:
Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $140,870 per year, or $67.7 per hour.

Lead Data Engineer

Globenet Consulting Corp

Lynnwood, WA • On-site

$45 - $55/hr

Full-time

Posted 6 days ago

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!