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Flex Data Preparation Jobs (NOW HIRING)

Data Engineer 4

Fremont, CA · On-site

$119K - $261K/yr

Experience supporting AI/ML or generative AI use cases, including data preparation for model ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

Flex is the diversified manufacturing partner of choice that helps market-leading brands design ... Prepare and maintain Standard Operating Procedures (SOPs) for daytoday data center and ...

Cost Accountant

Salt Lake City, UT

$63K - $84K/yr

A career at Flex offers the opportunity to make a difference and invest in your growth in a ... data, preparing financial reports, and providing insights that help drive informed business ...

New

Flex is the diversified manufacturing partner of choice that helps market-leading brands design ... Prepare and maintain Standard Operating Procedures (SOPs) for day-to-day data center and ...

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

Support credit risk model lifecycle processes, including data preparation, validation, deployment ... Flex Werk program, real opportunities for career growth, and a culture built around people who are ...

Support credit risk model lifecycle processes, including data preparation, validation, deployment ... Flex Werk program, real opportunities for career growth, and a culture built around people who are ...

Prepares graphs or charts of data or enters data into computer for analysis. * Download quality ... No Flex is an Equal Opportunity Employer and employment selection decisions are based on merit ...

Flex is the diversified manufacturing partner of choice that helps market-leading brands design ... After products have been fully tested, the quality control lead evaluates the data. *Prepare ...

Materials Analyst

Austin, TX · On-site

$26.25 - $32.50/hr

Collects and evaluates diverse data types, preparing reports from various sources, including ... No Flex is an Equal Opportunity Employer and employment selection decisions are based on merit ...

Quality Technician MRB Cage

Orangeburg, SC · On-site

$17.25 - $23.25/hr

Prepares graphs or charts of data or enters data into computer for research data. * Download ... No Flex is an Equal Opportunity Employer and employment selection decisions are based on merit ...

A career at Flex offers the opportunity to make a difference and invest in your growth in a ... Aggregate and prepare actual and forecast financial data (compare the current forecast against the ...

A career at Flex offers the opportunity to make a difference and invest in your growth in a ... Aggregate and prepare actual and forecast financial data (compare the current forecast against the ...

Flex is the diversified manufacturing partner of choice that helps market-leading brands design ... Prepares graphs or charts of data or enters data into computer for investigation. * Download ...

Quality Technician

Austin, TX · On-site

$17.75 - $24/hr

Prepares graphs or charts of data or enters data into computer for research data. * Download ... No Flex is an Equal Opportunity Employer and employment selection decisions are based on merit ...

Quality Technician 3

Austin, TX

$17.75 - $24/hr

Flex is the diversified manufacturing partner of choice that helps market-leading brands design ... Prepares graphs or charts of data or enters data into computer for research data. * Download ...

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Flex Data Preparation information

What are the most commonly searched types of Data Preparation jobs? The most popular types of Data Preparation jobs are:

$119K - $261K/yr

Full-time

Re-posted 15 days ago


Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

54th of 487 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.

What Lam Research employees say

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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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