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

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:

Senior Data Engineer

San Francisco, 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 ...

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/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 ...

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription ...

Senior Data Engineer - GTM

San Francisco, CA · On-site +1

$170K - $260K/yr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our GTM stakeholders depend on. This is a full-stack role: you'll build and maintain ...

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... Experience programming with Python to analyze geospatial data and interact with APIs * Experience ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Showing results 21-40

Remote Data Engineer information

See Martinez, CA salary details

$51.8K

$151.1K

$206.8K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Martinez, CA is $151,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 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.

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Martinez, 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 $151,131 per year, or $72.7 per hour.

Senior Data Engineer - Finance

Ōura

San Francisco, CA • On-site, Remote

$124K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago


Key responsibilities

  • Design, build, and maintain data pipelines and models that support financial reporting and analysis.

  • Partner with Finance, Sales Operations, and Business Intelligence teams to understand reporting requirements and develop scalable data models.

  • Own data quality, reliability, and compliance for financial datasets from ingestion to consumption.


Job description

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office.
We are looking for a Data Engineer - Finance to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data infrastructure that powers Oura's financial data - including revenue, LTV, Corporate Scorecard, and RevOps - ensuring clean, reliable, and timely data for stakeholders across Finance, Sales, and Leadership. While Finance data engineering is your core domain, we expect and actively support our engineers growing into adjacent areas - such as membership, supply chain, or broader platform work - as business needs and individual interests evolve.
This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.
What you will do:
Primary Focus - Finance Data Engineering
- Design, build, and maintain data pipelines and models that power Oura's Corporate Scorecard, revenue reporting, LTV analysis, and RevOps workflows.
- Partner closely with Finance, Sales Operations, and Business Intelligence to understand reporting requirements and translate them into scalable data models.
- Own end-to-end data quality and reliability for financial datasets - from ingestion to consumption-ready tables.
- Integrate and rationalize data across finance source systems (e.g., NetSuite, Salesforce, Pigment, e-commerce platforms) into a unified, governed data layer.
- Ensure financial data pipelines meet compliance, audit, and privacy requirements.
- Reduce manual, spreadsheet-driven reporting processes by automating trusted, self-serve data products.
Cross-functional Growth Areas (expected over time)
- Contribute to broader lakehouse architecture work including Apache Iceberg, Databricks, and dbt.
- Expand into adjacent domains such as Membership, RevOps, or Supply Chain data as the team grows.
- Participate in Data Mesh domain ownership design for the Finance domain.
We would love to have you on our team if you have:
- 5+ years of experience in data engineering or analytics engineering in production environments.
- Deep experience with financial or revenue data systems - understanding of metrics like LTV, ARR, churn, and funnel analytics.
- Strong SQL and Python skills with a track record of building tested, reliable data pipelines.
- Experience integrating data from ERP, CRM, or e-commerce platforms (NetSuite, Salesforce, Shopify, or similar).
- Familiarity with dbt, Databricks, Spark, or modern lakehouse tools.
- Experience running and monitoring production pipelines on AWS or equivalent cloud.
- Ability to work collaboratively with Finance and non-technical stakeholders to define data requirements.
- Self-motivated, pragmatic, and able to manage your own work independently.
What Makes You Stand Out
- Experience building or owning a Corporate Scorecard or executive-facing metrics layer.
- Familiarity with Pigment, Looker, or similar financial planning/BI tools.
- Experience with Data Mesh and domain-oriented data ownership.
- Exposure to SDM (Supply & Demand Management) or inventory data.
Benefits
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
What we offer:
  • Competitive salary and equity packages
  • Health, dental, vision insurance, and mental health resources
  • An Oura Ring of your own plus employee discounts for friends & family
  • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
  • Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
  • Region 1 $172,550 - $203,000

A recruiter can determine your zones/tiers based on your US location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
  • Our jobs are listed only on the ŌURA Careers page and trusted job boards.
  • We will never ask for personal information like ID or payment for equipment upfront.
  • Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.