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

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 ...

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 ...

Regard

Data Engineer

San Francisco, CA · Remote

$117K - $140K/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 ...

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 ...

Runpod Inc

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... We practice software engineering for data . Pipelines are code with tests, CI/CD, and ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Taskrabbit

Senior Data Engineer

San Francisco, CA · On-site +1

$170K - $225K/yr

About the Role We're hiring a Senior Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's mandate is to ...

Taskrabbit

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

About the Role We're hiring a Senior Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's mandate is to ...

Metriport

Staff Data Engineer

San Francisco, CA · Remote

The role We're looking for a data engineering leader who can own our data platform end-to-end ... min remote stand-up at 7:30am PST (our only mandatory meeting), and taking part in the on-call ...

Ōura

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$124K - $169K/yr

We are looking for a Data Engineer - Finance to join our Data Engineering & Analytics team. Your ... We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

Regard

Senior Data Engineer

San Francisco, CA · Remote

$108K - $147K/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 ...

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$108K - $147K/yr

The role We're looking for a data engineer who can operate at a Senior level: * You've built and ... Participating in bi-weekly sprint planning and retros, joining our daily 30-min remote stand-up at ...

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Showing results 1-20

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

Remote Data Engineer information

See Pittsburg, CA salary details

$49.5K

$144.2K

$197.3K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Pittsburg, CA is $144,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $152,800.00 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 Pittsburg, CA?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Pittsburg, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $144,184 per year, or $69.3 per hour.

Data Engineer

San Francisco, CA • Remote

Lever Demo 2
See more jobs at Lever Demo 2external

$134K - $162K/yr

Full-time

Re-posted 2 days ago

Job description

Welcome to the Demo Job Listing for Lever! This is a fictional job created solely for demonstration purposes and is not an actual open position. We've crafted this listing to showcase the functionality of our ATS platform, including job descriptions, application processes, and more.

While you can explore the application process and features here, please note that applications submitted to this job will not be reviewed or responded to as it's for demonstration only.

Why now?
We've always been heavy data users, for product, marketing and growth.

From self-serve solution, we quickly shifted to more advanced systems in which we replicate all interesting data to a warehouse and add BI tools for reporting and querying on top of it.

We're now reaching a limit: we have needs on all front, and can't maintain all our analytics properly. We need dedicated expertise to own this part, manage our data pipeline and tooling, but also coach the team on data to make it use the right way.

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 BI tools and setup.
Help product track the features usage and user behaviours. Help them shape the roadmap and next features accordingly.
Monitor and assess marketing inbound efforts (SEO, natural & paid search, content)
Help growth prioritize and measure the impact of its experiments
Maintain core reports and dashboard for all teams
Coach all team to properly use data in their job

Who will I be working with?
This is a true core role for the team as it comes in support of all its parts:
@mike VP product of Slite
@adrien growth engineer
@laure marketing
@chris CEO

What do I need?
Why now?
We've always been heavy data users, for product, marketing and growth.

From self-serve solution, we quickly shifted to more advanced systems in which we replicate all interesting data to a warehouse and add BI tools for reporting and querying on top of it.

We're now reaching a limit: we have needs on all front, and can't maintain all our analytics properly. We need dedicated expertise to own this part, manage our data pipeline and tooling, but also coach the team on data to make it use the right way.

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 BI tools and setup.
Help product track the features usage and user behaviours. Help them shape the roadmap and next features accordingly.
Monitor and assess marketing inbound efforts (SEO, natural & paid search, content)
Help growth prioritize and measure the impact of its experiments
Maintain core reports and dashboard for all teams
Coach all team to properly use data in their job

Who will I be working with?
This is a true core role for the team as it comes in support of all its parts:
@mike VP product of Slite
@adrien growth engineer
@laure marketing
@chris CEO

What do I need?
Strong analytical skills
SQL proficiency
Great communication, especially written communication
Structured mindset
Data tooling experience
Javascript and Git minimal skillset
extra little plus
Extra JS and node expertise
AI skills: understanding and ability to work with ML models and foresee the potential it could unlock for Slite would be a huge added value.
Past remote experience
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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