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Remote Etl Jobs in California (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

The Challenge (Responsibilities) * Assist in building and maintaining ETL pipelines using Python ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... Strong SQL and ETL fundamentals - treating extract → transform → load as a deliberate ...

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Remote Etl information

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$31

$56

$79

How much do remote etl jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote etl in California is $56.63, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $63.37 per hour, depending on experience, location, and employer.

What is a remote ETL?

Remote ETL jobs involve working with Extract, Transform, Load (ETL) processes from a remote location, often from home. ETL professionals are responsible for extracting data from various sources, transforming it into a suitable format, and loading it into data warehouses or databases. These roles require skills in data integration tools, programming languages like SQL or Python, and sometimes experience with cloud platforms. Remote ETL jobs allow professionals to collaborate with teams and manage data pipelines without being physically present in an office.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To thrive as a Remote ETL Developer, you need expertise in data integration, database management, and strong SQL skills, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or SSIS and experience with cloud platforms like AWS or Azure are commonly required. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills and qualities are essential for delivering reliable data pipelines and ensuring seamless, efficient data workflows in distributed environments.

What are some common challenges faced by remote ETL professionals, and how can they be overcome?

Remote ETL professionals often face challenges such as coordinating with distributed teams, managing data security, and troubleshooting issues without on-site access. Effective communication tools and regular check-ins can help bridge gaps with team members. To address data security, following best practices for remote access and adhering to company protocols is essential. Additionally, strong documentation and proactive monitoring can make troubleshooting and collaboration more efficient in a remote environment.

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

AspectRemote EtlRemote Data Analyst
Required CredentialsETL certifications, SQL, data warehousing knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentData integration, backend systems, scriptingData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare with data pipelinesBusiness, marketing, finance for insights

Remote ETL specialists focus on designing and maintaining data pipelines, requiring technical skills like SQL and data warehousing. Remote Data Analysts interpret data, create reports, and visualize insights. While both roles work remotely and require SQL, ETL roles are more technical and backend-focused, whereas Data Analysts are more analytical and client-facing. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are remote ETL developers in demand?

Remote ETL developers are in high demand due to the increasing need for data integration and management across industries. Skills in tools like Apache Spark, SQL, and cloud platforms enhance employability, and many organizations are hiring for remote roles to support flexible work arrangements.

What is a remote ETL developer's salary?

A remote ETL developer's salary typically ranges from $70,000 to $120,000 annually, depending on experience, location, and skill set. Professionals with expertise in tools like Apache NiFi, Talend, or Informatica and certifications may earn higher salaries, especially in senior roles or with specialized knowledge.

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

The most popular types of Etl jobs in California are:

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

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

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

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

Remote Etl jobs near you
Infographic showing various Remote Etl job openings in California as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $117,783 per year, or $56.6 per hour.

ETL Consultant

West Advanced Technologies (WATI)

Downey, CA • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

ETL Consultant
Downey CA (Remote)
Duration: 12 months
Skills Required
The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data - infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.
Skills Preferred
1. Understand the architecture, data warehousing concepts, and components like SQL Pools, Apache Spark pools, and Data Flow.
2. Strong knowledge of SQL for data extraction, transformation, and loading (ETL) tasks, including complex querying, stored procedures, views, and indexing.
3. Proficiency in designing and implementing efficient data models for data warehousing, including dimensional modeling techniques such as star and snowflake schemas.
4. Familiarity with programming languages like Python or Scala for data processing, analytics, and automation tasks in Azure Synapse Analytics.
5. Understanding of various data integration methods, including data ingestion from different sources, data replication, and data synchronization techniques.
6. Ability to optimize query performance and data processing in Azure Synapse Analytics through techniques like partitioning, indexing, and query optimization.
Experience Required
This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.
Experience Preferred
1. Having 2 to 4 years experience in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
2. Having 2 to 4 years experience in designing and developing data warehouses using other platforms like Microsoft SQL Server, Oracle, or Teradata can be valuable in understanding data warehousing concepts and best practices
3. Having 2 to 4 years experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka can be beneficial, as they integrate with Azure Synapse Analytics and enable large-scale data processing and analytics.
4. Having 2 to 4 years of experience in data visualization tools like Power BI or Tableau to create insightful visualizations and reports based on data stored in Synapse Data Warehouse.
5. Having 2 to 4 years experience in data cleansing, data profiling, and data validation techniques to ensure high data integrity in the data warehouse.
Education Required
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Education Preferred
A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is typically required.
Regards
Sunil Damagalla
West Advanced Technologies, Inc
E: sunil.d@wati.com D: 279-666-5837

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