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

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Discord

Data Engineer

San Francisco, CA · Remote

$180K - $200K/yr

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well ...

Sequoia Connect

Junior Data Engineer

Mountain View, CA · Remote

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

New

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

New

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Regard

Data Engineer

San Francisco, 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 ...

Horizontal Talent

Sr. Data Engineer

San Francisco, CA · On-site +1

$60 - $96/hr

Join a dynamic data engineering team supporting large-scale analytics and cloud data solutions for a hybrid onsite role in San Francisco, CA. This position focuses on building reliable, high ...

PayNearMe, Inc.

Staff Data Engineer

Santa Clara, CA · On-site +1

$134K - $161K/yr

As a Staff Data Engineer, you will provide technical leadership in the design, development, and evolution of PayNearMe's modern data platform and data products. You will work closely with Product ...

Figma

Data Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You'll also work closely with stakeholders across ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

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Showing results 1-20

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

Remote Data Engineer information

See Sunnyvale, CA salary details

$51.9K

$151.4K

$207.2K

How much do remote data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data engineer in Sunnyvale, CA is $151,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $160,500.00 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 Sunnyvale, CA? The most popular types of Data Engineer jobs in Sunnyvale, CA are:
What are popular job titles related to Remote Data Engineer jobs in Sunnyvale, CA? For Remote Data Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Remote Data Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Remote Data Engineer jobs? Cities near Sunnyvale, CA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $151,399 per year, or $72.8 per hour.

"DATA ENGINEER"

IT America Inc

Cupertino, CA • Remote

$117K - $140K/yr

Contractor

Re-posted 11 days ago

Job description

Position: Data Engineer

Location: Remote

Duration: 6 month contract
Note: Client is looking for someone with experience on more of SQL and limited on Tableau.

 

Required Skills:

Data Engineering Expertise:

  • Experienced in building and maintaining data pipelines (ETL/ELT)
  • Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
  • Comfortable working with cloud platforms (e.g., AWS, GCP, Azure) and tools like BigQuery, Redshift, or Snowflake
  • Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
  • Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

Data Infrastructure & Management:

  • Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
  • Skilled in maintaining data quality and integrity (data validation, deduplication, anomaly detection)
  • Familiar with version control, CI/CD practices for data workflows (e.g., Git, dbt cloud)