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Etl Developer Remote Jobs in California (NOW HIRING)

Innowhyte Inc

Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract ... Implement best practices in data engineering, including version control, testing, and deployment.

De Circle

Data & BI Engineer - Odos

San Francisco, CA · On-site

$134K - $162K/yr

Build ETL pipelines from on-chain data sources, APIs, and internal services. * Ensure data ... Partner with backend engineers on event schemas and pipeline performance. * Support finance and ops ...

Tilda Research

Work with some of the best engineers in the world: We are a team of repeat founders, who have built ... Work on data ETL pipelines, and help improve our AI engine to better organize and process our ...

Innowhyte Inc

... ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Minimum 5+ ...

SuperbTech,Inc.

Lead Salesforce Developer

Orange, CA · On-site +1

$75 - $85/hr

Hybrid (FULLY REMOTE NOT AVAILABLE) ONLY CANDIDATES IN SOUTHERN CALIFORNIA WILL BE CONSIDERED ... Experience with ETL/middleware tools and secure API integrations. * Strong understanding of ...

SuperbTech

Lead Salesforce Developer

Orange, CA · On-site +1

$59.25 - $78.50/hr

Hybrid (FULLY REMOTE NOT AVAILABLE) ONLY CANDIDATES IN SOUTHERN CALIFORNIA WILL BE CONSIDERED ... Experience with ETL/middleware tools and secure API integrations. * Strong understanding of ...

SuperbTech

Lead Salesforce Developer

Orange, CA · On-site +1

$59.25 - $78.50/hr

Hybrid (FULLY REMOTE NOT AVAILABLE) ONLY CANDIDATES IN SOUTHERN CALIFORNIA WILL BE CONSIDERED ... Experience with ETL/middleware tools and secure API integrations. * Strong understanding of ...

Figma

Data Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We are looking for an experienced Data Engineer to partner with our Data Science and Data ... Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools. * Excellent judgment and ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Lead database development, data pipeline, integration, ETL, modeling, and data architecture using ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

Lead database development, data pipeline, integration, ETL, modeling, and data architecture using ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Farmers Insurance

Lead Data Scientist

Woodland Hills, CA · On-site +1

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... programing, complex ETL and specialized modeling methods to execute projects and lead the team ...

Sequoia Connect

Data Infrastructure Architect

Mountain View, CA · Remote

$75.25 - $96.75/hr

Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks. * Deep ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data ...

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Etl Developer Remote information

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How much do etl developer remote jobs pay per hour?

As of Sep 2, 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 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.

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.

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 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $117,783 per year, or $56.6 per hour.

Data Architect (Remote)

Innowhyte Inc

On-site, Remote

Full-time

Re-posted 7 days ago

Job description

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.
Key Responsibilities:
Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
Optimize and manage data storage systems and ensure high availability, reliability, and performance.
Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.
Handle large-scale datasets, ensuring data integrity and consistency across platforms.
Provide technical expertise and mentorship to junior engineers and stakeholders.
Implement best practices in data engineering, including version control, testing, and deployment.
Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum 5+ years of hands-on experience in data engineering or related roles.
Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
Hands-on technical expertise in designing and implementing end-to-end data solutions.
Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
Work with state-of-the-art technologies in AI, ML, and data engineering.
Competitive compensation and ample opportunities for career growth.
Employment Type: FULL_TIME

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