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Remote Analytics Engineer Jobs in California (NOW HIRING)

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Posted today

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Posted today

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Posted today

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Posted today

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Collaborate with Data Engineering to ensure scalable, secure, and accessible data infrastructure ... Benefits Location Remote (US) Benefits & Perks * Competitive compensation and equity package (RSUs)

New

Collaborate with Data Engineering to ensure scalable, secure, and accessible data infrastructure ... Benefits Location Remote (US) Benefits & Perks * Competitive compensation and equity package (RSUs)

New

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

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

Showing results 41-60

Remote Analytics Engineer information

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What are the most commonly searched types of Analytics Engineer jobs in California?

The most popular types of Analytics Engineer jobs in California are:

What job categories do people searching Remote Analytics Engineer jobs in California look for?

The top searched job categories for Remote Analytics Engineer jobs in California are:

What cities in California are hiring for Remote Analytics Engineer jobs?

Cities in California with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in California as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

Python Systems Engineer (Remote)

Crunch

Redwood City, CA • Remote

Full-time

Re-posted 16 hours ago


Job description

Company Description

Crunch.io is an innovative analytics company in the market research industry. We offer a survey data analysis platform that allows market researchers, analysts, and marketers to collaborate in a secure, cloud-based environment, using an intuitive drag-and-drop interface. Crunch users can quickly gain insights from their data and communicate them to their clients.

Job Description

We are hiring a Python Software Systems Engineer to help develop and deploy our platform. We are inviting you to join our small, fully remote team of developers and operators helping make our platform faster, more secure, and more reliable. You would help us deliver new features and build the future for how we deploy our products faster and safer while increasing the availability and reliability of our systems. You will explore different ways of problem solving and discover, explain, and defend your choices in implementation. You will be self-motivated and disciplined in order to work with our fully distributed team.

We are looking for someone who is a quick study, who is eager to learn and grow with us, and who has experience in DevOps or Agile cultures. At Crunch, we believe in learning together: we recognize that we don't have all the answers, and we try to ask each other the right questions. Some of the ways that we accomplish that include paired programming to tackle a hard problem, transparent code reviews, and discussions about design and architecture. Since Crunch's employees are completely distributed, it's crucial that you can work well independently, and keep yourself motivated and focused. We move fast but carefully, with a deep commitment to not breaking things... well, not too much.

Responsibilities:

In addition to typical software engineering and system administration tasks, you will be expected to

  • Contribute to code quality through unit testing, integration testing, code review, and system design using Python

  • Configure and administer production services, and develop and maintain procedures for updating and upgrading these systems without sacrificing availability

  • Develop and and maintain staging, testing, and developer environments that provide a uniform base for developing code that is trusted to work well in production

  • Develop and automate software lifecycle systems to aid in Continuous Integration and Delivery of tested code

  • Participate in on-call rotations (limited to your working hours + the occasional weekend) and assist in diagnosing and fixing system failures quickly when they occur

Qualifications

Required skills:

  • Ability to work independently and communicate clearly

  • A commitment to producing robust, testable code that meets industry standards

  • Strong programming experience using Python or another high level programming language

  • Strong system scripting ability using Python, Bash, or similar

  • Substantial Linux System Administration experience

Nice to have, but not required:

  • Building large-scale or complex multi-tenant web applications

  • Parallelization, code optimization, and Big Data operations

  • System Deployment and/or Configuration Management software (e.g., Ansible, Chef, Puppet, etc.)

  • Continuous Integration tools (e.g., Jenkins, Bamboo, Travis, etc)

  • Monitoring (e.g., Nagios, Datadog, Sentry, Splunk, etc.)

  • Cloud Computing (e.g., AWS, OpenStack, Google Cloud, Azure, etc.)

  • ElasticSearch, Docker, Kubernetes, Mesos
Additional Information

Crunch is a well-funded, remote-first company with a collaborative and open culture. We are passionate about our product and our mission, and value work/life balance, efficiency, simplicity, and fantastic customer service.