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Etl Developer Remote Jobs in California (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Mountain View, CA · Remote

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

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 ... Experience as an application developer for projects similar in scope and responsibility. * Strong ...

Etleap, Inc.

Software Engineer - Integrations

San Francisco, CA · On-site +1

$122K - $164K/yr

That is why we've created an intuitive ETL tool that easily enables the data analysts themselves to ... Now we are looking to add engineers to our core engineering team to help build the infrastructure ...

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · Remote

$125K - $169K/yr

Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services ... Experience as an application developer for projects similar in scope and responsibility. * Strong ...

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 ...

Gemini

Lead Salesforce Developer

Irvine, CA · Remote

$59.25 - $78.50/hr

Lead Salesforce Developer Location: Irvine, CA or Atlanta, GA Duration: Contract Role Summary The ... ETL/EAI tools, design of web services (REST and SOAP), SOQL, Lightning Component development ...

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How much do etl developer remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for etl developer remote 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 are the key skills and qualifications needed to thrive as a remote ETL developer?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

What is an ETL developer?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to become an ETL developer who works remotely?

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

How do ETL developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.
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Etl Developer Remote jobs near you
Infographic showing various Etl Developer Remote job openings in California as of August 2026, with employment types broken down into 71% Full Time, 5% Part Time, and 24% Contract. Highlights an 100% 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

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

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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