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Data Wrangler Jobs in California (NOW HIRING)

Greenhorn Ranch in Quincy, CA is looking for one wrangler to join our team. We provide seasonal ... Msg & data rates may apply. Powered by Homebase. Free employee scheduling, time clock and hiring ...

... data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our ...

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our ...

... data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data ...

WPC Apple Card Data Scientist

Cupertino, CA · On-site

$175.50 - $311.70/hr

Expert data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large‑scale distributed systems such as Redshift * Proficient in cloud ...

Infrastructure & Data Engineer

Soquel, CA · On-site

$115K - $150K/yr

... data wrangling libraries (Pandas, Numpy)Hands-on experience building and scaling systems that support microservice-oriented architectures and related technologies (e.g. Kubernetes, Kafka, Celery ...

Infrastructure & Data Engineer

Soquel, CA · On-site

$115K - $150K/yr

... data wrangling libraries (Pandas, Numpy)Hands-on experience building and scaling systems that support microservice-oriented architectures and related technologies (e.g. Kubernetes, Kafka, Celery ...

About Contract Wrangler Contract Wrangler enables companies to maximize profit and minimize risk ... Our solution enables operating teams across an enterprise to act with real-time, data-driven ...

About Contract Wrangler Contract Wrangler enables companies to maximize profit and minimize risk ... Our solution enables operating teams across an enterprise to act with real-time, data-driven ...

Experience with data: statistics, data cleansing, data wrangling. Scripting languages (i.e. Python, R) and big data technologies (i.e. Databricks, Snowflake) are a huge plus * Experience working with ...

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 ...

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 ...

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

Required : • Bachelor's degree in Computer Science, Data Science, or a related field. • 5+ years of experience in data engineering, data wrangling, or data curation, particularly in machine ...

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Data Wrangler information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data wrangler jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data wrangler in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a data wrangler?

A Data Wrangler is responsible for collecting, cleaning, and organizing raw data from various sources to make it usable for analysis. They preprocess data by handling missing values, formatting inconsistencies, and eliminating errors to ensure accuracy. Data Wranglers work closely with data analysts and data scientists to prepare structured datasets for insights and decision-making. Their role often involves scripting, automation, and utilizing tools like Python, SQL, and data transformation platforms.

What skills and qualifications are needed to be a data wrangler?

To thrive as a Data Wrangler, you need a strong background in data cleaning, transformation, and analysis, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools like Python, R, SQL, Excel, and data visualization platforms, as well as knowledge of ETL processes, is typically required. Detail orientation, problem-solving skills, and clear communication are vital soft skills for this role. These skills are important for ensuring that raw data is accurately refined and prepared for meaningful analysis by data scientists and business stakeholders.

What challenges do data wranglers face and how do they navigate them?

Data Wranglers often encounter challenges such as inconsistent or incomplete datasets, merging data from multiple sources, and addressing ambiguous data definitions. To navigate these issues, they work closely with data engineers, analysts, and subject matter experts to clarify data requirements and apply robust validation processes. Effective communication and creative problem-solving are key to diagnosing and resolving data quality issues. By mastering a variety of technical tools and adopting meticulous data documentation practices, Data Wranglers play a crucial role in ensuring that downstream analytics are reliable and actionable.

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 jobs in California?

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

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

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

What cities in California are hiring for Data Wrangler jobs?

Cities in California with the most Data Wrangler job openings:

Infographic showing various Data Wrangler job openings in California as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

$74.75 - $96.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Our client is looking for a savvy Data Engineer.You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
What will you do :-
  • The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL, and NoSQL. &bull
  • Build data pipeline on premise and on Cloud Platform.
  • Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

What you should have :-
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Experience Building processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassa
  • Experience with object-oriented/object function scripting languages: Python, Java

Thanks
Himabindu
Technical Recruiter
Rootshell Inc
himabindu@rootshellinc.com
Phone Number: 408-822-9457