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

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 ...

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 ...

Generac

Sales Engineer - Data Centers

Los Angeles, CA · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

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Showing results 21-40

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

Remote Data Engineer information

See Pasadena, CA salary details

$48.5K

$141.5K

$193.6K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineer in Pasadena, CA is $141,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $150,000.00 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 Pasadena, CA?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Pasadena, CA as of August 2026, with employment types broken down into 76% Full Time, 5% Part Time, 3% Temporary, and 16% Contract. Highlights an 3% In-person, and 97% Remote job distribution, with an average salary of $141,495 per year, or $68 per hour.

Senior Data Engineering & Analytics Lead

PM2CM

Pomona, CA • Remote

Full-time

Medical, Retirement

Re-posted 16 days ago

Job description

PM2CM, Inc., (Project Management to Construction Management) is a professional services company and certified SBE and DBE, dedicated to providing Program and Project Management, Construction Management and Project Controls services during the design and construction phase of projects. Our expertise is in Project Controls which includes Scheduling, Cost Controls, Document Management and Controls, Budget tracking and monitoring, Estimating, Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management.

Our goal is simple: To offer and deliver the “best in class” project management, construction management and project controls services that allow our clients to build with confidence.

To achieve these objectives, we will strive to have a sound and complete understanding of the project scope and our client’s corporate needs. We shall provide our services with integrity and stellar professionalism and hire the best qualified professionals.

This is a remote role with periodic in-person team meetings in Pomona, CA.

About the Role:

We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build scalable data infrastructure, and deliver actionable insights that support strategic decision-making across the organization.

Key Responsibilities:

  • Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets.
  • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems.
  • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders.
  • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions.
  • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities.
  • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners.
  • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

Requirements

Required Qualifications:

  • 7+ years of experience designing and delivering complex data engineering solutions.
  • Expert proficiency in Microsoft Office, advanced Excel (including Power Query), SAS, and SAP.
  • Experience with Business Intelligence tools for data visualization and analytics.
  • Strong analytical foundation with the ability to solve complex problems and translate them into business value.

Preferred Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent combination of education/experience).
  • Advanced proficiency in SQL.
  • Knowledge of utility business operations.
  • Lean Six Sigma Black Belt or equivalent certification.

Benefits

What We Offer:

  • Remote work flexibility with periodic in-person team meetings in Pomona, CA.
  • Opportunity to lead critical enterprise data initiatives and influence strategic decisions.

Benefits

100% paid health insurance, 401K match and profit sharing.

PM2CM logo

About PM2CM

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Torrance, CA, US

Year founded

2014

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