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Data Engineer Iv Jobs (NOW HIRING)

Lam Research Corporation

Data Engineer 4

Fremont, CA · On-site

$119K - $261K/yr

Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to translate AI use-case requirements into scalable, governed, and production-ready data solutions. * Drive ...

JANSON

Data Engineer (Engineer IV)

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer (Engineer IV) Location: Kaiserslautern, Germany Clearance: Secret Responsibilities include, but are not limited to, the following: Configure Data Pipelines: Design ETL Processes:

Ampcus Inc

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 ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Data Engineer IV - AI & Data Products (Draper UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the ...

Enfycon Inc

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer IV Process : 2 rounds virtual, final interview onsite Location: 3800 Quick Hill Road Austin, TX 78728 (3 days onsite) Intro Summary We're seeking a highly skilled Senior ...

Acuren Inspection, Inc.

Engineer IV

Magnolia, TX

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

Acuren Inspection, Inc.

Engineer IV

Magnolia, TX · On-site

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

Acuren Inspection Inc.

Engineer IV

Magnolia, TX · On-site

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

Acuren Inspection, Inc.

Engineer IV

Magnolia, TX

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

JT4, LLC

Engineer IV

Edwards, CA · On-site

Determine test objectives, instrumentation, and data requirements * Write test planning documents ... In addition, an Engineer IV must possess the following qualifications: * Comprehensive knowledge of ...

JT4 LLC

Engineer IV

Edwards, CA · On-site

... resultant data, document results in test reports, statistical evaluations and briefing ... In addition, an Engineer IV must possess the following qualifications: Comprehensive knowledge of ...

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Data Engineer Iv information

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$44.5K

$129.7K

$177.5K

How much do data engineer iv jobs pay per year?

As of Aug 17, 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

What job categories do people searching Data Engineer Iv jobs look for?

The top searched job categories for Data Engineer Iv jobs are:

Data Engineer Iv jobs near you
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.

Data Engineer 4

Lam Research Corporation

Fremont, CA • On-site

$119K - $261K/yr

Full-time

Re-posted just now

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

131st of 490 rated machine equipment manufacturers

Job description

The impact you'll make
In this role, you will directly contribute to Lam's Enterprise AI strategy by building the scalable, AI-ready data foundation that powers generative AI, machine learning, and advanced analytics across the company. You will define and deliver modern data architecture, trusted data products, and production-grade data pipelines that enable Enterprise AI use cases at scale.
What you'll do
  • Architect and build scalable, production-grade data pipelines and data products on Azure, Microsoft Fabric, and related cloud data platforms to support Enterprise AI use cases.
  • Design and implement data architecture patterns, including Medallion architecture and curated data layers, to improve data quality, usability, and governance for AI and analytics workloads.
  • Develop and optimize large-scale data processing solutions using Python, SQL, Spark, and modern Azure data services to support high-volume, high-performance workloads.
  • Build AI-ready data assets for machine learning and generative AI applications, including vector search, Retrieval-Augmented Generation (RAG), graph-based use cases, and semantic data models.
  • Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to translate AI use-case requirements into scalable, governed, and production-ready data solutions.
  • Drive architecture decisions for data integration, storage, transformation, and serving layers that support the long-term Enterprise AI roadmap.
  • Contribute to engineering quality through CI/CD, automation, observability, and operational readiness practices for data pipelines and platforms.
  • Document architecture decisions, technical designs, and operating procedures to support maintainability, operational readiness, and long-term platform sustainability.

Who we're looking for
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
  • 8+ years of experience in data engineering, data architecture, platform engineering, or related technical roles.
  • Strong hands-on experience designing and building cloud-based data solutions on Microsoft Azure.
  • Strong proficiency in Python, SQL, and Spark for data transformation, pipeline development, and large-scale data processing.
  • Experience with modern data architecture patterns, including Lakehouse and Medallion architecture, and building production-grade data pipelines that integrate data from multiple enterprise systems.
  • Experience partnering with cross-functional teams to deliver scalable technical solutions that support business and platform goals.

Preferred qualifications
  • Experience with Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse, or related Azure data services.
  • Experience supporting AI/ML or generative AI use cases, including data preparation for model training, inference, vector search, or Retrieval-Augmented Generation (RAG) workflows.
  • Experience with graph data models, knowledge graph technologies, or graph databases such as Neo4j.
  • Experience with Azure AI Search, event-driven ingestion patterns, CI/CD for data engineering, and monitoring or observability practices for data platforms.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $119,000.00 - $261,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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