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Data Wrangler Remote Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Expertise in data wrangling using SQL, * Practical knowledge and experience with cloud-computing ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Easy Recruiter

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

... Remote-First Places to Work . Firstup believes in the power of data to produce great business ... Experience wrangling imperfect data sets * Experience working with Tableau, Looker, or other ...

BILL

Fraud Strategy Data Scientist

San Jose, CA · On-site +1

$135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders ... Hands on experience wrangling complex data in tools (ie. Tableau) with the focus to perform ...

Astronomer

Staff Product Manager - SF

San Francisco, CA · Remote

$270K/yr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... The work ahead in our Platform team isn\'t just about wrangling pipelines or curating datasets; it ...

All JobsData Wrangler JobsData Wrangler Remote JobsData Wrangler Remote Jobs in California

Data Wrangler Remote information

What is a data wrangler?

Data Wranglers are professionals who specialize in cleaning, organizing, and transforming raw data into a format that is usable for analysis or further processing. They handle tasks such as identifying inconsistencies, dealing with missing values, and converting data from various sources into a standardized format. In remote roles, Data Wranglers use digital tools and platforms to access, process, and manage data from anywhere, collaborating virtually with teams. Their work is crucial for ensuring that data scientists and analysts have reliable, high-quality data for decision-making and insights.

What are the key skills and qualifications needed to thrive as a data wrangler remote?

To thrive as a Data Wrangler (Remote), you need a strong background in data analysis, data cleaning, and proficiency with programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with data management tools such as SQL databases, data visualization platforms, and familiarity with cloud-based systems is typically required. Excellent problem-solving, attention to detail, and effective remote communication skills help professionals excel in this role. These skills ensure that data is accurate, well-organized, and easily accessible for decision-making and analysis in distributed work environments.

What are some common challenges faced by remote data wranglers, and how can they be addressed?

Remote Data Wranglers often encounter challenges such as inconsistent data formats, missing information, and coordinating with distributed teams across different time zones. To address these issues, it's important to establish clear communication channels, utilize collaborative data platforms, and follow standardized data cleaning protocols. Regular check-ins with team members and thorough documentation of data processes can also help ensure data integrity and smooth collaboration, even when working remotely.

What is the difference between Data Wrangler Remote vs Data Analyst?

AspectData Wrangler RemoteData Analyst
Required CredentialsBasic data handling skills, often no formal degree requiredBachelor's degree in related field, some roles prefer certifications
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, regular business hours
Industry UsageData preparation, cleaning, and formatting in various industriesData interpretation, reporting, and insights in multiple sectors
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, reporting-focused roles

While both roles involve working with data, Data Wrangler Remote primarily focuses on cleaning and preparing data for analysis, often in a remote setting. Data Analysts interpret data to generate insights and reports. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

How much do data wranglers make?

Data wranglers, also known as data engineers or data specialists, typically earn between $60,000 and $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in SQL, Python, or cloud platforms can command higher salaries.

What is the job of a Data Wrangler Remote?

A Data Wrangler Remote is responsible for cleaning, organizing, and preparing raw data for analysis, often using tools like SQL, Python, or Excel. The role requires strong attention to detail, data management skills, and the ability to work independently in a remote environment.

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

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

What are popular job titles related to Data Wrangler Remote jobs in California?

For Data Wrangler Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Wrangler Remote jobs in California look for?

The top searched job categories for Data Wrangler Remote jobs in California are:

What cities in California are hiring for Data Wrangler Remote jobs?

Cities in California with the most Data Wrangler Remote job openings:

Data Wrangler Remote jobs near you
Infographic showing various Data Wrangler Remote job openings in California as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 28 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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