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Remote Data Engineer Jobs in Long Beach, CA (NOW HIRING)

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

Eitacies Inc

Senior Data Engineer

Los Angeles, CA · Remote

$60/hr

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los Angeles, CA We are looking for experienced Data Engineers to support a large-scale Oracle to Snowflake ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

EDO

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 ...

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/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 * 6+ years of data engineering experience and three years of hands-on ...

Regard

Senior Data Engineer

Los Angeles, CA · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

Cystems Logic, Inc.

Data Lead - REMOTE

Los Angeles, CA · Remote

Remote We have below longterm job opening. If you are interested , Please send your updated resume ... Mentor and guide data engineers while ensuring adherence to best practices. Optimize ETL/ELT ...

Cystems Logic Inc

Data Lead - REMOTE

Los Angeles, CA · On-site +1

Remote We have below longterm job opening. If you are interested , Please send your updated resume ... Mentor and guide data engineers while ensuring adherence to best practices. Optimize ETL/ELT ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Long Beach, CA

Remote Data Engineer information

See Long Beach, CA salary details

$46.8K

$136.4K

$186.6K

How much do remote data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote data engineer in Long Beach, CA is $136,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Long Beach, CA?

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

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

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

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

The top searched job categories for Remote Data Engineer jobs in Long Beach, CA are:

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,394 per year, or $65.6 per hour.

Data Engineer

Lorven Technologies

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineer
Location: California - Remote
Duration: 6+ Months Contract
Job Description:
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:
  • Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
  • Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
  • Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
  • Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements:
  • Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
  • Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
  • Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
  • Minimum of ten (10) years of Experience in programming
  • Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
  • Strong SQL Knowledge
  • Experience in ML and ML Pipeline a plus
  • Experience in real-time integration, developing intelligent apps and data products.
  • Proficiency in Python and experience with CI/CD practices
  • Strong background in IAAS platforms and infrastructure
  • Hands-on experience with Databricks, Spark, Fabric, or similar technologies
  • Experience in Agile methodologies
  • Hands-on experience in the design and development of data pipelines and data products
  • Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
  • Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
  • Extensive experience in designing data applications in a cloud environment.
  • Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
  • Extensive experience in Data Architecture and data modeling
  • Expert in data analysis and data quality frameworks.
  • Knowledgeable with BI tools such as Power BI and Tableau.
  • May occasionally work evenings and/or weekends.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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