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

Capio Group

Reporting/Analytics Consultant

Sacramento, CA · Remote

$100K - $115K/yr

... Remote Salary: $100,000 - $115,000 About Us: Capio Group is a California-based Information ... Must possess Google Cloud Data Engineer or Analytics certifications. A copy of the certification ...

3B Staffing LLC

Java DevOps Engineer

Placerville, CA · Remote

$56.25 - $77.25/hr

Remote Duration : 12 Months Team members for the Data Center Consolidation effort must have experience with at least the following: * Software engineering with an emphasis on Java software ...

3B Staffing LLC

Java DevOps Engineer

Placerville, CA · Remote

$56.25 - $77.25/hr

Remote Duration : 12 Months Team members for the Data Center Consolidation effort must have experience with at least the following: * Software engineering with an emphasis on Java software ...

Cisco

Leader, Solutions Engineer, Splunk

Rancho Cordova, CA · On-site +1

$109K - $144K/yr

This role can be performed remote within CO, WA, Utah, AZ, CA - Non Bay Area Must be authorized to ... Use data and business metrics to identify trends, surface opportunities and risks, and improve team ...

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

Remote Data Engineer information

See Folsom, CA salary details

$47.6K

$138.7K

$189.8K

How much do remote data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineer in Folsom, CA is $138,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $147,000.00 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 Folsom, CA?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Folsom, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,706 per year, or $66.7 per hour.

Senior Data Engineering Consultant (ArcGIS) - Certified (Ref: 5666)

Estrada Consulting Incorporated

Sacramento, CA • Remote

$68.75 - $92/hr

Contractor

Re-posted 18 days ago

Job description

Estrada Consulting, Inc Is Looking For:
Role: Senior Data Engineer with ArcGIS framework(Ref: 5666)
Duration: 18-months
Location: Remote within the Continental USA

Candidates Will Be Required to Provide the Following to Submit to the Client:
  • PDF copy of diploma.
  • PDF copies of certifications.
  • Three client references for project work performed within the past 5-years.

Mandatory Qualifications and Experience Include:
  • A minimum of four (4) years of relevant experience in authoring and monitoring data pipelines. Eight (8) years, if substituting bachelor's or advanced degree for qualifying experience.
  • The possession of a bachelor's or advanced degree (master's or PhD) in computer science, engineering, information systems, math or technology-related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Successful completion of a data engineering bootcamp plus an additional year of experience may be substituted for the degree requirement.

Additional Mandatory Qualifications Are:
  • A minimum of five (5) years of extensive full-time equivalent experience as a Senior Data Engineer in a lead role, responsible for modeling, architecting, developing, testing, deploying and supporting scalable, fault-tolerant data architectures to support enterprise decision making within Dimensional and other analytic data models (Data Warehouse, Data Mart).
  • A minimum of four (4) years of extensive full-time equivalent experience as a data pipeline engineer responsible for architecting, designing, developing/authoring, testing, deploying, monitoring and supporting scalable and fault-tolerant ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) solutions that move data – in near real-time and/or on a schedule - between on-premises and cloud infrastructure solution components using Microsoft SQL Server SSIS and Microsoft Azure Data Factory.
  • A minimum of five (5) years of extensive full-time equivalent experience architecting, designing, developing, testing, deploying and supporting data solutions within the Azure SQL, SQL MI, Azure Synapse, and/or Microsoft Fabric cloud platforms.
  • A minimum of five (5) years of extensive full-time equivalent experience developing solutions that include SQL scripting.
  • A minimum of three (3) years of extensive full-time equivalent experience developing analytic dashboards and reports within Microsoft PowerBI.
  • A minimum of three (3) years of experience developing solutions that include Python components.
  • A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting development of financial data analysis solution(s).
  • A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting development of Healthcare Provider Network Adequacy analysis solution(s).
  • A minimum of two (2) years of full-time experience as an ArcGIS data engineer in designing, managing and optimizing data systems within ArcGIS framework. This includes using ArcGIS tools and Power BI to explore, clean and prepare data for mapping and analysis.
  • A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting API driven bulk data integrations with Azure API Manager.

Microsoft Certification(s) Such As:
  • Microsoft Azure Data Engineer.
  • Microsoft Fabric Analytics Engineer.
  • Microsoft Fabric Data Engineer.
  • Microsoft PowerBI Data Analyst.
  • Microsoft Fabric Analytics Engineer.

Current Data Modeling Certification(s) Such As:
  • Certified Data Management Professional (CDMP) Data Modeling Specialist (DMBOK).
  • Data Modeling Institute (DMI) Data Modeling Certification (DMC).
  • Transforming Data With Intelligence (TDWI) Certified.
  • Business Intelligence Professional (CBIP).
  • Microsoft Data Modeling in PowerBI.

Estrada Consulting logo

About Estrada Consulting

Sourced by ZipRecruiter

We’re a purpose-driven consulting company that will help your organization solve business challenges and build for the future. Our team is equipped to rise to the most challenging environments and bring fresh, innovative approaches to problem solving. We have brought together a senior team of experts that bring their shared experiences and insights across industries, disciplines, and markets to each and every engagement.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Sacramento, CA, US

Year founded

2000

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