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Remote Data Engineer Jobs in Orange, CA (NOW HIRING)

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Engineering Manager, Big Data

Los Angeles, CA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Los Angeles, CA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Jobcertify

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent * Mastery of SQL, Python, and other scripting ...

ZipRecruiter

Engineering Manager, Big Data

Los Angeles, CA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Coordinate data management and resource requirements with data engineers * Conduct training to ... business analysts and internal customers on data and resources available through the analytics ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Orange, CA

Remote Data Engineer information

See Orange, CA salary details

$47.5K

$138.6K

$189.6K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Orange, CA is $138,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $146,900.00 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 Orange, CA?

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

What are popular job titles related to Remote Data Engineer jobs in Orange, CA?

For Remote Data Engineer jobs in Orange, CA, the most frequently searched job titles are:

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Orange, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,571 per year, or $66.6 per hour.

REMOTE - Lead Software Engineer: 26-00165

Platinum Resource Group

Newport Beach, CA • Remote

$89.37 - $94.37/hr

Contractor

Medical, Dental, Vision

Posted 10 days ago

Job description

LEAD SOFTWARE ENGINEER
 
Location; Newport Beach, CA
 
JOB DESCRIPTION
 
The Annuity Platform Transformation team is seeking a hands-on Lead Software Engineer to help modernize capabilities surrounding our legacy annuity policy administration platforms, including the design, development, testing, and deployment of AWS-based solutions and the orchestration layer that processes business events, applies routing and transformation rules, coordinates downstream activities, and manages exceptions.
 
This role requires a strong combination of software engineering, AWS data platform development, Integration architecture, DevOps automation, and technical leadership. The successful candidate will establish development standards, guide other engineers, conduct code and design reviews, and translate architectural direction into production-ready solutions.
 
KEY RESPONSIBILITIES
 
AWS Data Engineer
 

  • Lead the design and development of an AWS-based operational data layer containing replicated data from mainframe policy administration systems.
  • Build ingestion and processing components supporting cross-platform data ingestion and integration, batch integration, and event-driven data movement.
  • Develop data transformation, mapping, validation, reconciliation, and exception-handling capabilities.
  • Implement solutions using appropriate AWS services such as Amazon S3, Aurora or RDS, DynamoDB, AWS Glue, Lambda, and managed messaging services.
  • Establish controls for data completeness, consistency, lineage, security, retention, and auditability.
  • Implement monitoring for data latency, throughput, data-quality exceptions, failed transactions, and platform availability.
  • Partner with mainframe, data engineering, and integration teams to resolve source-data and data movement issues.

 
  Orchestration and Integration Layer
 

  • Design and build orchestration services that respond to business events and coordinate processing across legacy and modern platforms.
  • Develop APIs, services, workflows, routing rules, transformation logic, and reusable integration components.
  • Implement reliable processing patterns including idempotency, retries, replay, sequencing, error recovery, and dead-letter handling.
  • Support both synchronous and asynchronous integrations using REST APIs, queues, topics, and event-driven patterns.
  • Build configurable business rules and exception-management capabilities that reduce hard-coded processing.
  • Ensure orchestration services provide traceability from the originating event through downstream processing.
  • Collaborate with Product Owners, architects, analysts, QA engineers, and application teams to translate business processes into implementable technical designs.

 
 DevOps and Infrastructure Engineering
 

  • Establish and maintain automated CI/CD pipelines for application, data, and infrastructure deployments.
  • Develop Infrastructure as Code using approved tools such as Terraform, AWS CloudFormation, or AWS CDK.
  • Help configure application-specific AWS resources within enterprise cloud architecture and security guardrails.
  • Implement automated build, test, security-scanning, deployment, rollback, and environment-promotion processes.
  • Support AWS networking, IAM roles and policies, secrets management, encryption, logging, and environment configuration in partnership with Cloud Platform and Security teams.
  • Implement operational dashboards, alerts, distributed tracing, and production-support procedures.
  • Improve platform reliability, scalability, performance, recoverability, and cost efficiency.
  • Create technical runbooks and support the transition of solutions into production operations.

 
 Technical Leadership
 

  • Serve as the hands-on technical lead for developers assigned to the Transformation team.
  • Break architectural designs and product features into implementable engineering components.
  • Establish coding, integration, testing, documentation, and deployment standards.
  • Lead technical design sessions, code reviews, troubleshooting, and root-cause analysis.
  • Mentor developers in AWS engineering, event-driven architecture, data integration, DevOps, and modern software-development practices.
  • Delegate technical work while maintaining accountability for solution quality and integration.
  • Identify technical dependencies, delivery risks, capacity constraints, and architectural decisions requiring escalation.
  • Develop reusable frameworks and patterns that can be adopted across multiple transformation initiatives.
  • Promote automated testing, secure coding, observability, and engineering discipline throughout the development lifecycle.

 
QUALIFICATIONS
 

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience.
  • Eight or more years of professional software-engineering experience, including responsibility for complex enterprise applications or platforms.
  • Demonstrated experience serving as a technical lead, lead developer, or senior engineer responsible for guiding other developers.
  • At least four years of hands-on AWS development or cloud-platform engineering experience.
  • Strong programming experience in Java, Python, or another enterprise development language.
  • Experience building APIs, microservices, data-processing services, and event-driven applications.
  • Experience with AWS data and integration services, relational databases, NoSQL databases, and object storage.
  • Experience designing data-ingestion, replication, transformation, reconciliation, or operational data-processing solutions.
  • Experience building CI/CD pipelines and deploying Infrastructure as Code.
  • Working knowledge of cloud security, IAM, encryption, secrets management, networking, logging, and monitoring.
  • Experience with automated unit, integration, performance, and deployment testing.
  • Strong troubleshooting skills across applications, data pipelines, cloud services, and infrastructure.
  • Ability to communicate technical decisions, tradeoffs, risks, and dependencies to both technical and nontechnical stakeholders.

 
Preferred Qualifications
 

  • AWS Developer, Solutions Architect, DevOps Engineer, or Data Engineer certification.
  • Experience integrating AWS applications with mainframe platforms.
  • Familiarity with COBOL, DB2 for z/OS, VSAM, CICS, batch processing, or mainframe data structures.
  • Experience with cross-platform data integration tools and technologies.
  • Experience with Amazon EventBridge, SQS, SNS, MSK or Kafka, Step Functions, ECS, EKS, or Lambda.
  • Experience building high-volume, highly available, and auditable financial-services platforms.
  • Familiarity with insurance, annuity, policy administration, or regulated financial-services environments.
  • Experience with Snowflake or enterprise analytical data platforms while maintaining separation between operational and analytical workloads.
  • Experience with legacy-system modernization patterns, including strangler architecture, parallel processing, reconciliation, and phased migration.
  • Experience using AI-assisted engineering tools for code analysis, development, testing, or technical documentation.

 
Leadership Competencies
 

  • Lead through technical credibility and hands-on contribution.
  • Coach engineers while holding the team accountable for engineering quality.
  • Make pragmatic decisions within established enterprise architecture and security standards.
  • Communicate clearly across application, data, infrastructure, security, architecture, and business teams.
  • Balance near-term delivery needs with long-term maintainability and reuse.
  • Work effectively in an environment involving legacy platforms, cloud services, vendor partners, and multiple dependent teams.

 
 
 
 

Company Description

Platinum Resource Group is a professional level consulting firm, providing resources to Fortune 1000 client companies in the areas of technology, human resources, accounting, finance, business systems and supply chain, on a contract and interim basis. PRG has operations in Orange County, San Diego, Los Angeles and San Francisco. As a W-2 employer we offer our consultants direct deposit bi-weekly payroll, health, dental, vision benefits, and referral bonuses.