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Data Preprocessing Jobs in Hercules, CA (NOW HIRING)

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Data Preprocessing information

See Hercules, CA salary details

$50.8K

$182.2K

$268.9K

How much do data preprocessing jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data preprocessing in Hercules, CA is $182,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,400.00 and $187,700.00 per year, depending on experience, location, and employer.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

What are the key skills and qualifications needed to thrive as a data preprocessing specialist, and why are they important?

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What are some common challenges faced in a data preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What job categories do people searching Data Preprocessing jobs in Hercules, CA look for?

The top searched job categories for Data Preprocessing jobs in Hercules, CA are:

What cities near Hercules, CA are hiring for Data Preprocessing jobs?

Cities near Hercules, CA with the most Data Preprocessing job openings:

Data Preprocessing jobs near you
Infographic showing various Data Preprocessing job openings in Hercules, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $182,199 per year, or $87.6 per hour.

Senior Software Engineer, Machine Learning Platform

San Francisco, CA • On-site

Menlo Ventures
Investment Clubs and Venture Capital Companies • 11 - 50 employees
Learn more about Menlo Venturesexternal

$144K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Key responsibilities

  • Design, build, and operate scalable ML infrastructure on AWS

  • Develop distributed training and batch processing systems using Ray

  • Support and evolve the feature store and feature pipelines

Job description

About the role

Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.

As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real‑time inference, and experimentation. You’ll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning.

This role focuses on building robust foundations that allow ML teams to move quickly while maintaining reliability, governance, and cost efficiency.

The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00. Full‑time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to
  • Design, build, and operate scalable ML infrastructure on AWS
  • Develop distributed training and batch processing systems using Ray
  • Build and maintain infrastructure-as-code using Terraform
  • Support and evolve the feature store and feature pipelines
  • Develop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies)
  • Improve CI/CD workflows for ML models and platform components
  • Enhance observability, reliability, and cost visibility across ML workloads
  • Partner closely with Data Science and ML Engineering teams to improve developer experience
  • Contribute to platform architecture decisions and technical roadmaps
  • Participate in on‑call rotations to support production systems
To thrive in this role, you have
  • 5+ years of experience in ML infrastructure, platform engineering, or production ML systems
  • Knowledge of the machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment
  • Experience with distributed systems, cloud computing, or large‑scale data processing
  • Strong foundation in computer science and software engineering principles
  • Deeply interested in the impact and evolution of advanced AI technologies
  • Hands‑on experience with CI/CD pipelines, DevOps practices, and infrastructure as code
  • Experience with containerization technologies such as Docker and Kubernetes, and orchestration systems
  • Knowledge of cloud platforms such as AWS and distributed computing frameworks such as Spark and Ray
  • Experience with GPU programming (CUDA) and GPU costs/optimization
  • Strong programming skills in Python, Go, Scala, Java or similar languages
  • Familiarity with infrastructure‑as‑code (e.g., Terraform, CloudFormation)
  • Solid understanding of software engineering fundamentals (testing, version control, code review, observability)
Nice-to-have
  • Experience with distributed compute frameworks such as Ray
  • Experience building or operating a feature store
  • Experience with real‑time ML systems or model serving
  • Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming, etc.)
  • Experience supporting ML lifecycle workflows (training, evaluation, deployment, monitoring)
  • Knowledge of ML experimentation platforms and model governance practices
What we offer for our full‑time, regular employees
  • Our in‑office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company‑wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
  • In‑office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
  • Competitive salary based on experience
  • 401k match plus great medical, dental, vision, life, and disability benefits
  • Generous vacation policy and company‑wide Chime Days, bonus company‑wide paid days off
  • 1% of your time off to support local community organizations of your choice
  • Annual wellness stipend to use towards eligible wellness related expenses
  • Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non‑birthing parents
  • Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
  • In‑person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
  • A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

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