Which cities near Pomona, CA have the most data engineer job openings?

The cities near Pomona, CA that boast the highest number of data engineer jobs are: Orange Fullerton Corona Rancho Cucamonga Ontario Fontana Anaheim West Covina El Monte Rialto

Which cities near Pomona, CA have the most job openings?

The 10 cities near Pomona, CA that have the most job openings are: Orange Fullerton Corona Rancho Cucamonga Ontario Fontana Anaheim West Covina Jurupa Valley El Monte

What are the most popular job searches in Pomona, CA?

The 10 most popular job searches in Pomona, CA are: city amazon government warehouse work from home amazon warehouse construction security data entry online

What are the highest-paying jobs in Pomona, CA?

The highest-paying jobs are: veterinarian ( from $ 75,000 to $ 225,000 year ) hospitality ( from $ 69,714 to $ 207,500 year ) interpreter ( from $ 39,975 to $ 201,833 year ) senior architect ( from $ 150,000 to $ 201,100 year ) construction engineer ( from $ 39,975 to $ 195,000 year ) construction project engineer ( from $ 39,975 to $ 195,000 year ) product owner ( from $ 101,969 to $ 192,706 year ) construction project manager ( from $ 105,000 to $ 180,000 year ) pipeline ( from $ 32,240 to $ 172,380 year ) construction manager ( from $ 83,750 to $ 171,500 year )

Which cities in the United States of America offer the highest salaries for data engineer jobs?

The top 10 cities are: Macon, GA ( from $ 84,825 to $ 244,450 year ) Rockford, IL ( from $ 173,350 to $ 215,130 year ) Fayetteville, NC ( from $ 174,100 to $ 212,500 year ) Alexandria, VA ( from $ 119,550 to $ 212,500 year ) Beaumont, TX ( from $ 151,878 to $ 211,761 year ) Worcester, MA ( from $ 88,400 to $ 211,350 year ) Kent, WA ( from $ 117,000 to $ 211,350 year ) Joliet, IL ( from $ 173,350 to $ 211,350 year ) Concord, CA ( from $ 122,500 to $ 211,350 year ) Waco, TX ( from $ 173,350 to $ 211,350 year )

Data engineer Jobs in Pomona, CA

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Data engineer • pomona ca

Last updated: 14 hours ago

Remote Econometric Data Analyst (Stata SE)

Micro1Chino Hills, California, US

Remote

Full-time

Econometric Data Analyst (Stata SE).Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train mo...Show more

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateClaremont, California, US

Remote

Full-time

If you’re a senior Data Engineer who thrives on precision, systems thinking, and building reliable data foundations, this is a unique opportunity to contribute directly to how the next generation o...Show more

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateCitrus, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateSan Dimas, California, US

Remote

Full-time

Remote Econometric Data Analyst (Stata SE)

Micro1Diamond Bar, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateGlendora, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateChino, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateChino Hills, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateWalnut, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateDiamond Bar, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateLa Verne, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateOntario, California, US

Remote

Full-time

Process Engineer

Ventura FoodsOntario, CA, US

Full-time

The Process Lead owns all continuous improvement activities for their assigned area.Is the subject matter expert around centerlines for the area.The role must have technical and analytical skills t...Show more

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotatePomona, California, US

Remote

Full-time

Remote, Data Quality Engineer

Insight GlobalPomona, CA

Remote

Full-time

Insight Global is seeking a Data Quality Engineer for a large enterprise client operating within a modern Azure-based cloud data ecosystem.This individual will play a critical role in ensuring the ...Show more

Remote Econometric Data Analyst (Stata SE)

Micro1Pomona, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateMontclair, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateCharter Oak, California, US

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateCovina, California, US

Remote

Full-time

Remote Econometric Data Analyst (Stata SE)

Micro1Chino Hills, California, US

9 days ago

Job type

Full-time

Remote

Job description

Econometric Data Analyst (Stata SE)

$35 - $100/hourpay

Required Skills

Stata SE

About micro1

micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.

Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: Econometric Data Analyst (Stata SE)

Job Type: Contract

Location: Remote

Job Summary

Join our customer's team as an Econometric Data Analyst (Stata SE), where you will leverage your expertise in advanced econometric modeling and Stata SE to deliver impactful, reproducible research solutions. You will tackle complex datasets, optimize workflows, and translate data-driven insights for academic and policy-driven environments. This is a unique opportunity for a Stata SE expert to contribute to high-impact projects from a fully remote setting.

Key Responsibilities

Design and implement advanced econometric models using Stata SE, with a focus on panel data and causal inference techniques.
Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows.
Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability.
Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders.
Collaborate closely with our customer's team to understand project objectives, communicate findings, and iterate on analysis as needed.
Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers.
Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling.

Required Skills and Qualifications

Expert proficiency in Stata SE with demonstrated experience in econometric modeling and automation via do-files.
Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques.
Strong skills in data cleaning, preparation, and validation for complex statistical analysis.
Exceptional written and verbal communication skills, with a keen attention to clarity and detail.
Proven ability to document processes and present findings to diverse audiences in academic or policy contexts.
Experience in producing reproducible research outputs and ensuring high standards of analytic integrity.
Self-motivated, organized, and capable of thriving in a fully remote environment.

Preferred Qualifications

Advanced degree (Master’s or PhD) in Economics, Statistics, Data Science, or a related field.
Prior experience collaborating on projects for academic or policy-focused institutions.
Familiarity with complementary statistical tools or programming languages (e.g., R, Python) is a plus.