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Data Engineer Remote Contract Jobs in Riverside, CA

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

We are looking for a Data Engineer to help us expand and maintain our data infrastructure. We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about ...

Arctiq

Data Engineer

Irvine, CA · Remote

$117.20K - $140.70K/yr

We are looking for a Data Engineer (Data Analyst) to join Arctiq dedicated entirely to a high ... This is a 3 months contract opportunity (with potential extension). You will be embedded in our ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$130K - $160K/yr

Job Brief: The Data Engineer III will lead the development and maintenance of our data ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

Quora

AI Automation Engineer -Remote

Pomona, CA · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

UnitedHealth Group

Senior AI/ML Engineer - Remote

Irvine, CA · On-site +1

$91.70K - $163.70K/yr

From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of ... We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We ...

UnitedHealth Group

Senior AI/ML Engineer - Remote

Irvine, CA · On-site +1

$91.70K - $163.70K/yr

From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of ... We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We ...

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All JobsData Engineer Remote Contract JobsData Engineer Remote Contract Jobs in Riverside, CA

Data Engineer Remote Contract information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do data engineer remote contract jobs pay per year?

As of May 30, 2026, the average yearly pay for data engineer remote contract in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer in a remote contract role, and why are they important?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by Data Engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is a Data Engineer Remote Contract position?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are popular job titles related to Data Engineer Remote Contract jobs in Riverside, CA? For Data Engineer Remote Contract jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Riverside, CA look for? The top searched job categories for Data Engineer Remote Contract jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Engineer Remote Contract jobs? Cities near Riverside, CA with the most Data Engineer Remote Contract job openings:
Data Engineer Remote Contract jobs near you
Data Engineer (Remote)

Data Engineer (Remote)

Reveel

Irvine, CA • Remote

$115K - $150K/yr

Full-time

Posted 12 days ago

Job description

We are looking for a Data Engineer to help us expand and maintain our data infrastructure.

We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about building and optimizing ETL workflows in Snowflake using Snowpark, managing parcel logistics data, and keeping our backend pipelines reliable. You'll be working directly with the CTO and will quickly get exposure to high-value projects that impact our core product.

This person should be familiar with Git and comfortable working in a backend-focused role. Experience with SQL and Python is still useful, but on the job you'll primarily be using Snowpark to write and orchestrate data transformations. Familiarity with workflow tools like Dagster is also a plus.

This role is fairly autonomous. A successful applicant should be comfortable using their skill, intuition, and creativity to accomplish a task without detailed direction on how it should be accomplished. While the ideal candidate should be capable and independent, they will be part of a supportive and friendly team dedicated to mutual success.

Minimum Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent experience)

  • U.S. citizen and currently residing in the United States

Key Responsibilities

  • Develop and maintain ETL workflows in Snowflake using Snowpark

  • Write and optimize transformations to support reporting and analytics

  • Manage code in Git and contribute to a clean, well-documented codebase

  • Orchestrate data workflows with Dagster

  • Parse and process parcel logistics data in formats such as CSV, JSON, and EDI

  • Work directly with the CTO in 2-week sprint cycles

Preferred Skills

  • Snowflake (Snowpark)

  • Git

  • SQL

  • Python

  • Dagster (or similar orchestration tools like Airflow/dbt)

Bonus if Familiar With

  • Parcel logistics or shipping data

  • EDI feeds and schemas

  • Data pipelines in a SaaS product environment

About Us

We are the leading parcel shipping analytics company, pioneering Parcel Spend Management (PSM 2.0). Candidly, the logic behind shipping data is insane and very hard to understand! We make that easy for our customers by creating amazing software.

Since 2006, Reveel has been dedicated to providing Shipping Intelligence for the smartest business decisions possible. Founded by former DHL sales executives, Reveel was created to level the playing field. Over the past decade-plus, our zero-risk services have saved our clients millions of dollars.