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Remote Data Engineer Jobs in Rancho Cucamonga, CA

iShare Inc

Data Engineer GCP AWS & Databricks

Redlands, CA · Remote

$45 - $50/hr

Remote - United States Employment Type: Contract Experience Required: 6+ Years Position Overview We are seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data ...

New

Alignment Healthcare

Sr Data Engineer

Orange, CA · On-site +1

$122K - $146K/yr

As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You ...

PM2CM

Cost Engineer Hybrid-Remote

Anaheim, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

PM2CM

Cost Engineer Hybrid-Remote

Riverside, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

PM2CM

Cost Engineer Hybrid-Remote

Pomona, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

PM2CM

Cost Engineer Hybrid-Remote

San Bernardino, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Zorts Sports

Software Engineer

Claremont, CA · Remote

$100K - $125K/yr

Software Engineer Flash Biometrics | Hybrid/Remote - Claremont, CA Salary Range: $100,000-$125,000 ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Rancho Cucamonga, CA

Remote Data Engineer information

See Rancho Cucamonga, CA salary details

$45.5K

$132.6K

$181.4K

How much do remote data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data engineer in Rancho Cucamonga, CA is $132,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Rancho Cucamonga, CA?

The most popular types of Data Engineer jobs in Rancho Cucamonga, CA are:

What job categories do people searching Remote Data Engineer jobs in Rancho Cucamonga, CA look for?

The top searched job categories for Remote Data Engineer jobs in Rancho Cucamonga, CA are:

What cities near Rancho Cucamonga, CA are hiring for Remote Data Engineer jobs?

Cities near Rancho Cucamonga, CA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Rancho Cucamonga, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $132,559 per year, or $63.7 per hour.

Data Engineer GCP AWS & Databricks

Redlands, CA • Remote

iShare Inc
See more jobs at iShare Incexternal

$45 - $50/hr

Full-time

Posted 3 days ago

New

Job description

Data Engineer – GCP, AWS & DatabricksLocation: Remote – United States
Employment Type: Contract
Experience Required: 6+ Years
Position Overview
We are seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and data platforms. The ideal candidate will have strong hands-on experience with GCP, AWS, Databricks, Apache Spark, PySpark, Python, and SQL.
This role requires expertise in building reliable ETL/ELT pipelines, integrating data from multiple sources, and optimizing cloud data solutions for performance, security, scalability, and cost.
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build cloud-based data solutions using GCP and AWS services.
  • Use Databricks, Apache Spark, and PySpark for large-scale data processing.
  • Integrate structured, semi-structured, and unstructured data from multiple sources.
  • Develop and optimize batch and real-time data-processing workflows.
  • Improve pipeline performance, reliability, scalability, and cost efficiency.
  • Implement data-quality checks, monitoring, security, and governance standards.
  • Design and support cloud data warehouses and data lakes.
  • Troubleshoot production issues and perform root-cause analysis.
  • Collaborate with data architects, analysts, application teams, and business stakeholders.
  • Create and maintain technical documentation for pipelines, data models, and workflows.
Required Qualifications
  • 5+ years of professional data engineering experience.
  • Strong hands-on experience with both GCP and AWS.
  • Expertise in Databricks, Apache Spark, and PySpark.
  • Strong programming skills in Python and SQL.
  • Proven experience developing ETL/ELT pipelines and cloud data platforms.
  • Experience with data warehouses, data lakes, and dimensional data modeling.
  • Experience with orchestration tools such as Apache Airflow or Google Cloud Composer.
  • Understanding of data security, governance, monitoring, and quality frameworks.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
  • Experience with AWS services such as S3, Glue, EMR, Redshift, Lambda, and Kinesis.
  • Familiarity with Delta Lake and Databricks Lakehouse architecture.
  • Experience with streaming technologies such as Apache Kafka.
  • Familiarity with CI/CD, Git, Terraform, and cloud infrastructure automation.
  • Experience working in Agile development environments.
Must-Have Skills
GCP | AWS | Databricks | Apache Spark | PySpark | Python | SQL | ETL/ELT | Airflow/Cloud Composer | Data Warehousing | Data Lakes

This is a remote position.