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Etl Developer Remote Jobs in California (NOW HIRING)

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 ...

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

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 ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA · On-site +1

$177K/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 ...

Sequoia Connect

Data Infrastructure Architect

Mountain View, CA · On-site +1

$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

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

$177K/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

Fremont, CA · On-site +1

$177K/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 ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... You will take ownership of the full data pipeline - from scrapers and ETL workflows to data ...

Valdera

Chemical Data Scientist

San Francisco, CA · Remote

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data ...

Valdera

Chemical Data Scientist

San Francisco, CA · Remote

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... You will take ownership of the full data pipeline -- from scrapers and ETL workflows to data ...

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Etl Developer Remote information

See California salary details

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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.

Data Engineer - Enterprise AI, ERP and SaaS

Tessera Labs

San Jose, CA • Remote

$250K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Location: San Jose, CA or New York City
Remote: Considered; travel required

About Tessera Labs

Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.

Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI.

Role Summary

We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems. This role focuses on integrating and standardizing data from Sage ERP, Baan / Infor LN, Oracle ERP, SaaS ERP platforms (such as NetSuite), and other enterprise systems into unified data models.

The engineer will collaborate closely with ERP functional teams, Functional Data Experts (FDEs), and product engineers to translate complex business logic into robust data transformation pipelines and canonical enterprise data models.

This role requires strong experience in SQL, Python, enterprise data modeling, and ERP data structures, combined with the ability to solve complex cross-system data inconsistencies and harmonization challenges.

Why This Role Matters

Enterprise organizations often operate across multiple ERP systems and business platforms, each with different schemas, definitions, and data semantics. Without proper harmonization, data becomes fragmented and unreliable for operations, analytics, and decision-making.

This role is critical in building the data foundation that enables organizations to operate with consistent, trusted enterprise data across systems.

The Data Engineer in this role will:

  • Enable cross-system interoperability between ERP platforms

  • Standardize enterprise master and transactional data

  • Support ERP modernization and migration initiatives

  • Provide the data backbone for enterprise analytics, AI, and automation

Key Responsibilities

Build ERP Data Integration Pipelines

Design and develop scalable ETL/ELT pipelines to ingest and transform data from enterprise systems including:

  • Sage ERP (e.g., Sage X3, Sage Intacct, Sage 300)

  • Baan / Infor LN

  • Oracle ERP / Oracle Fusion

  • SaaS ERP platforms such as NetSuite

  • Legacy ERP and adjacent enterprise systems

Implement transformation pipelines using SQL and Python.

Implement Data Harmonization Logic

Design and maintain data harmonization frameworks that standardize enterprise datasets across systems.

Define and implement cross-system mapping rules for enterprise data domains including:

  • Customers / Business Partners

  • Vendors / Suppliers

  • Materials / Products

  • Chart of Accounts

  • Cost Centers and organizational structures

  • Financial and operational transactions

Design Enterprise Data Models

Develop canonical enterprise data models that normalize ERP data across heterogeneous systems.

Implement logical and physical models supporting:

  • Relational data platforms

  • Dimensional analytics models

  • Enterprise semantic layers

Translate Functional Requirements into Data Logic

Work closely with ERP functional teams and Functional Data Experts (FDEs) to translate business rules into technical implementations.

Convert functional requirements into:

  • SQL transformation logic

  • Python-based processing pipelines

  • Validation and reconciliation frameworks

Improve Data Quality and Governance

Implement data validation, reconciliation, and monitoring frameworks.

Identify and resolve enterprise data issues such as:

  • Duplicate master data

  • Inconsistent definitions across ERP systems

  • Incomplete or legacy datasets

  • Configuration-driven inconsistencies

Required Skills & Experience

Professional Experience

  • 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development

  • Experience working with enterprise ERP systems, such as:

    • Sage ERP platforms

    • Baan / Infor LN

    • Oracle ERP / Oracle Fusion

    • NetSuite or other SaaS ERPs

  • Experience supporting ERP transformation, migration, or multi-system integration initiatives

Technical Skills

Programming

  • Advanced SQL

  • Strong Python for data engineering workflows and pipeline development

Data Engineering

  • Experience building ETL/ELT pipelines

  • Experience processing large-scale enterprise datasets

  • Familiarity with modern data architectures and distributed processing

Data Modeling

  • Strong understanding of:

    • Relational data models

    • Dimensional models

    • Canonical enterprise data models

ERP Data Knowledge

Understanding of ERP business domains including:

Finance

  • General Ledger

  • Accounts Payable / Receivable

  • Financial transactions

Supply Chain

  • Materials and product data

  • Procurement and vendor management

  • Inventory and logistics

Enterprise Master Data

  • Customers

  • Vendors

  • Products

  • Organizational structures

Behavioral & Problem-Solving Expectations

Systems Thinking
Ability to understand complex enterprise systems and business processes, and design data solutions that work across multiple platforms.

Translating Business Logic into Technical Solutions
Capability to work with functional teams and convert business rules into scalable data transformation logic.

Data Problem Solving
Strong analytical skills to diagnose and resolve enterprise data challenges.

Collaboration
Comfortable working with cross-functional teams including engineers, ERP functional consultants, and business stakeholders.

Ownership and Execution
Ability to take ownership of complex data problems and deliver production-grade solutions that scale across enterprise environments.

No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.

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