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Data Encoder Home Based Jobs in California (NOW HIRING)

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

... that encode agreed business rules. * Execute migrations end-to-end on the internal migration ... AWS experience - particularly Athena - and depth in SQL-based systems. * A background in high ...

Build shared processing components such as privacy redaction, transcription, encoding, format ... Computer vision or multimodal ML experience (detection, tracking, VLM-based labeling or QC) * Prior ...

Home Visitor - 14791

Merced, CA · On-site

$18 - $19/hr

... based on the cost of living and market data variations. Factors that may be used to determine your ... In addition, the Home Visitor assesses the safety and cleanliness of each home and works with ...

We learn and predict behaviors from large scale expert data and large scale reinforcement learning ... Compensation will vary based on geographic location and level. Leveling, as well as positioning ...

We learn and predict behaviors from large scale expert data and large scale reinforcement learning ... Compensation will vary based on geographic location and level. Leveling, as well as positioning ...

We learn and predict behaviors from large scale expert data and large scale reinforcement learning ... Compensation will vary based on geographic location and level. Leveling, as well as positioning ...

Showing results 41-60

Data Encoder Home Based information

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$8

$32

$72

How much do data encoder home based jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data encoder home based in California is $32.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $46.37 per hour, depending on experience, location, and employer.

What is a data encoder home based?

A Data Encoder Home Based job involves entering, updating, and managing data in digital formats from the comfort of your home. Responsibilities typically include encoding information into databases, verifying data accuracy, and maintaining records. This role requires attention to detail, typing proficiency, and familiarity with data management software. Many companies hire remote data encoders for tasks like processing invoices, transcribing documents, or organizing customer information. It is a great option for those looking for flexible, work-from-home opportunities.

What are the key skills and qualifications needed to thrive in the data encoder home based position?

To thrive as a Data Encoder Home Based, strong typing skills, attention to detail, and accuracy in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of ERP software is typically required. Excellent self-motivation, time management, and the ability to work independently make a candidate stand out in this remote position. These skills and qualities ensure high-quality, error-free data processing and efficient workflow in a virtual work environment.

What are some common challenges encountered by data encoders working from home, and how can they be managed?

Data Encoders working from home often face challenges such as maintaining focus in a home environment, managing large volumes of repetitive tasks, and ensuring data accuracy with minimal supervision. Establishing a dedicated workspace and structured routine can help reduce distractions and maintain productivity. Utilizing productivity tools and setting regular self-checks ensures data quality and helps meet deadlines. Employers typically provide training and support channels, so don’t hesitate to reach out or participate in remote meetings to stay connected with your team.

What are the most commonly searched types of Data Encoder jobs in California?

The most popular types of Data Encoder jobs in California are:

What are popular job titles related to Data Encoder Home Based jobs in California?

For Data Encoder Home Based jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Encoder Home Based jobs in California look for?

The top searched job categories for Data Encoder Home Based jobs in California are:

What cities in California are hiring for Data Encoder Home Based jobs?

Cities in California with the most Data Encoder Home Based job openings:

Infographic showing various Data Encoder Home Based job openings in California as of August 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% In-person job distribution, with an average salary of $67,424 per year, or $32.4 per hour.

Financial Crimes Data Scientist

East West Bank

Pasadena, CA • On-site

$100K - $200K/yr

Full-time

Re-posted 17 hours ago


East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

117th of 175 rated banks


Job description

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.


Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance across financial crime risk programs.


A Financial Crimes Data Scientist develops, validates, and deploys advanced analytics and machine learning solutions to detect, prevent, and investigate financial crimes, including money laundering, fraud, sanctions violations, and terrorist financing.

Key Responsibilities
  • Design, build, validate, and deploy in-house detection models for AML, fraud, and other financial crime risks.
  • Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal and external data sources.
  • Create and optimize transaction monitoring scenarios and machine learning-driven alert generation frameworks.
  • Implement model deployment pipelines and production monitoring to ensure effectiveness and regulatory compliance.
  • Conduct feature engineering, model tuning, and performance assessment to improve precision, recall, and operational efficiency.
  • Partner with Compliance, BSA/AML, Fraud, Investigations, and Technology teams to translate emerging risks into scalable detection strategies.
  • Reduce false positives while increasing the identification of high-risk activity and suspicious behavior.
  • Support model governance, validation, documentation, and regulatory examinations.
  • Perform other duties as assigned.
Core Expertise
  • Financial Crime Risk Management
  • AML/BSA Compliance
  • Fraud Analytics
  • Machine Learning & AI
  • Graph and Network Analytics
  • Entity Resolution
  • Transaction Monitoring
  • Model Development & Deployment
  • Python, SQL, Spark, Databricks
  • Cloud Analytics Platforms (Azure/AWS)

  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, behavior clustering, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. 
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. 
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. 
  • Experience with Data Visualization Tools like Tableau and Power BI that help to visually encode data
  • Network/Link Analytics
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.


The base pay range for this position is USD $100,000.00/Yr. - USD $200,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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