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Data Engineer Iv Jobs (NOW HIRING)

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform ...

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

COSMOS - Data Engineer IV

Little Rock, AR · On-site

$109K - $131K/yr

The Project/Program Specialist (Data Engineer IV) position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or ...

COSMOS - Data Engineer IV

Little Rock, AR · On-site

$109K - $131K/yr

The Data Engineer IV position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or contract. The position ...

Data Engineer IV

$118K - $170K/yr

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation data and analytics platform - scalable, reliable, and AI-ready - enabling smarter decisions across ...

Data Engineer IV

Irvine, CA · On-site

$122K - $147K/yr

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation data and analytics platform - scalable, reliable, and AI-ready - enabling smarter decisions across ...

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer IV performs complex data operations focusing on transformation and quality include designing and building data pipelines for ETL (Extract, Transform, Load) processes, cleaning and ...

Data Engineer IV 4P/792

Atlanta, GA

$110K - $132K/yr

Position: Data Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company Services Southern Company Services is seeking an experienced Data Engineer IV to design, build, and ...

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in data engineering roles. The role involves building and optimizing data pipelines, supporting analytics ...

Data Engineer IV

Fulton, MD · On-site

$111K - $134K/yr

Tharros is seeking a Lead Data Engineer to support a Department of Defense customer in designing, developing, and maintaining scalable data pipelines and infrastructure supporting complex mission and ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

We are looking for a Data Engineer to join the Infrastructure Automation team, responsible for delivering software that powers our infrastructure and supports analytic technologies for customer data ...

JANSON is seeking a Data Engineer to join a cutting-edge initiative in support of the U.S. Department of Defense (DoD) in Germany. This role plays a vital part in delivering critical engineering and ...

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Data Engineer IV information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer iv jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer iv in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Data Engineer IV?

A Data Engineer IV is a senior-level data engineering professional responsible for designing, building, and maintaining large-scale data processing systems and infrastructure. They often lead teams, develop best practices, and ensure the reliability, scalability, and security of data pipelines. Data Engineer IVs work closely with data scientists, analysts, and other stakeholders to deliver high-quality, accessible data for analytics and business intelligence. Their role typically requires extensive experience with big data technologies, cloud platforms, and advanced programming skills.

How does a Data Engineer IV typically collaborate with data scientists and analysts within an organization?

A Data Engineer IV often acts as a bridge between raw data infrastructure and the analytical teams by designing, building, and optimizing robust data pipelines. They work closely with data scientists and analysts to understand data requirements, ensure high data quality, and enable efficient access to relevant datasets. Regular collaboration involves translating business needs into scalable data architecture, troubleshooting data flow issues, and mentoring junior engineers on best practices. This cross-functional teamwork is essential for delivering actionable insights and supporting data-driven decision-making throughout the company.

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

To excel as a Data Engineer IV, you need deep expertise in data architecture, ETL processes, SQL, and programming languages like Python or Scala, usually backed by a bachelor’s or master’s degree in computer science or a related field. Mastery of data warehousing solutions (such as AWS Redshift, Google BigQuery, or Snowflake), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, communication, and project leadership skills distinguish top performers in this role. These abilities are crucial for building scalable data systems, ensuring data integrity, and driving data-driven decision-making across the organization.

What is the difference between Data Engineer Iv vs Data Engineer V?

AspectData Engineer IvData Engineer V
Required CredentialsBachelor's degree in Computer Science or related field; 3-5 years experienceBachelor's or Master's degree; 5+ years experience, advanced certifications
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesLeadership roles, complex data architecture, mentoring
Employer & Industry UsageTech companies, finance, healthcareLarge enterprises, cloud service providers
Search & Comparison IntentUnderstanding mid-level data engineering rolesExploring senior data engineering positions

The main difference between Data Engineer Iv and Data Engineer V lies in experience, responsibilities, and expertise. Data Engineer V typically has more years of experience, handles more complex data architecture, and may lead projects or teams, whereas Data Engineer Iv is more focused on executing data pipelines and supporting data infrastructure within a team.

More about Data Engineer IV jobs
Infographic showing various Data Engineer Iv job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$110 - $118/hr

Other

Posted 12 days ago


Job description

Data Engineer IV
Location: Remote (PST Preferred)
Duration: 7-Month Contract (Through April 16, 2027)
Employment Type: Contract | 40 Hours per Week
Start Date: ASAP
Pay rate: $110/hr. - $118/hr. on W2
 
About the Opportunity
A Global Leading Technology Company is seeking an experienced Data Engineer IV to support critical data infrastructure and analytics initiatives within its AI and Product Ecosystem organization. This role offers the opportunity to work on cutting-edge AI and GenAI-driven products, building the data foundations that power insights, product decisions, and large-scale user experiences.
The ideal candidate will be responsible for designing scalable data solutions, developing robust data pipelines, ensuring data quality, and creating impactful reporting and dashboarding capabilities. This position requires strong technical expertise, exceptional collaboration skills, and a passion for solving complex data challenges in a fast-paced environment.
 
Team & Project Overview
This role supports a high-impact AI-focused organization responsible for developing and maintaining end-to-end data architecture that drives reporting, analytics, and measurement across AI-powered products and services. The team is focused on enabling scalable growth through robust data infrastructure, advanced reporting capabilities, and innovative AI-driven engineering practices.
The Data Engineer IV will collaborate with cross-functional partners to ensure data systems are reliable, scalable, and capable of supporting rapidly evolving product needs.
 
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and support reliable data infrastructure that enables analytics, reporting, and product insights.
  • Partner closely with data scientists, analysts, product managers, and engineering teams to deliver high-quality data solutions.
  • Implement and maintain data quality frameworks, automated monitoring, and anomaly detection processes.
  • Develop dashboards, reports, and analytical solutions that support business decision-making and product performance tracking.
  • Build and validate product logging systems to ensure accurate and reliable data collection.
  • Leverage AI-native tools and workflows to improve productivity and accelerate data engineering delivery.
  • Troubleshoot, diagnose, and resolve data-related issues in a timely manner.
  • Document data workflows, architecture, processes, and best practices.
  • Contribute to operational excellence through knowledge sharing and process improvements.
 
Required Qualifications
  • Bachelor''s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • 7+ years of experience in Data Engineering, Data Warehousing, or a related discipline.
  • Strong expertise in SQL and Python for large-scale data processing and analytics.
  • Hands-on experience designing, building, and maintaining ETL/ELT pipelines.
  • Experience developing and implementing data quality, validation, and monitoring frameworks.
  • Experience creating dashboards, reporting solutions, and analytics products.
  • Strong understanding of data modeling, data governance, and scalable data architecture.
  • Experience working with cloud platforms such as AWS, Google Cloud Platform, or Azure.
  • Experience with modern data warehousing technologies such as Snowflake, Redshift, BigQuery, or similar platforms.
  • Excellent analytical, problem-solving, and troubleshooting skills.
  • Strong communication, collaboration, and stakeholder management abilities.
 
Preferred Qualifications
  • Previous experience working within large-scale consumer technology environments.
  • Familiarity with AI-native analytics, data engineering, and developer productivity tools.
  • Experience supporting AI/ML or Generative AI product ecosystems.
  • Experience building data solutions that support large-scale product metrics and user insights.
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About Russell Tobin

Sourced by ZipRecruiter

Russell Tobin is a leading minority-owned professional recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2010