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Remote Data Integration Developer Jobs in Simi Valley, CA

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Salesforce Developer

Los Angeles, CA · Remote

$90K - $150K/yr

Remote Pay: $90K - $150K Core duties and responsibilities include the following. Other duties may ... Creating and maintaining integrations with other applications and systems using web service and API'

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Develop host-side logic and GPU integrations using C++ . * Create GPU-focused tasks and solutions ...

Salesforce Developer

Los Angeles, CA · Remote

$90K - $150K/yr

Remote Pay: $90k - $150k Core duties and responsibilities include the following. Other duties may ... Creating and maintaining integrations with other applications and systems using web services and ...

Salesforce Developer

Los Angeles, CA · Remote

$90K - $150K/yr

Remote Pay: $90k - $150k Core duties and responsibilities include the following. Other duties may ... Creating and maintaining integrations with other applications and systems using web services and ...

Remote Pay: $90k - $150k Core duties and responsibilities include the following. Other duties may ... Creating and maintaining integrations with other applications and systems using web services and ...

Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred) * Integrate ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 3-6 years of experience as a Data Engineer. * Hands-on experience with ...

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 ... As a Data Migration Engineer on the client's migration delivery team, the role will own customer ...

Showing results 41-60

Remote Data Integration Developer information

See Simi Valley, CA salary details

$10

$53

$86

How much do remote data integration developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data integration developer in Simi Valley, CA is $53.35, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $60.05 per hour, depending on experience, location, and employer.

What is a remote data integration developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.

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

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What are some common challenges remote data integration developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What cities near Simi Valley, CA are hiring for Remote Data Integration Developer jobs?

Cities near Simi Valley, CA with the most Remote Data Integration Developer job openings:

AI Data Science Expert - Remote

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 28 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.