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Remote Data Engineering Jobs in Simi Valley, CA (NOW HIRING)

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are in the office 4 days per week with the 5th business day being remote. WHAT SUCCESS LOOKS ... ENGINEERING Design, build, and maintain data pipelines using modern orchestration tools (e.g ...

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are in the office 4 days per week with the 5th business day being remote. WHAT SUCCESS LOOKS ... ENGINEERING Design, build, and maintain data pipelines using modern orchestration tools (e.g ...

Jobcertify

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent * Mastery of SQL, Python, and other scripting ...

Rula

Sr. Analytics Engineer (Remote)

Los Angeles, CA · Remote

$112K - $154K/yr

... is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii ... Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Simi Valley, CA

Remote Data Engineering information

See Simi Valley, CA salary details

$45.9K

$133.9K

$183.2K

How much do remote data engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote data engineering in Simi Valley, CA is $133,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $141,900.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Remote Data Engineering jobs in Simi Valley, CA? For Remote Data Engineering jobs in Simi Valley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Simi Valley, CA look for? The top searched job categories for Remote Data Engineering jobs in Simi Valley, CA are:
What cities near Simi Valley, CA are hiring for Remote Data Engineering jobs? Cities near Simi Valley, CA with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Simi Valley, CA as of July 2026, with employment types broken down into 71% Full Time, 9% Part Time, 5% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,906 per year, or $64.4 per hour.

REMOTE Data Analyst

Catasys Health

Los Angeles, CA • Remote

Full-time

Posted 27 days ago

Job description

Company Description

Catasys is making a positive impact on people's lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.  This has led us to where we are today: growing fast and saving lives as we do.

To support our explosive growth, we're looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you're passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible.

Impact lives in so many ways
You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values.
The new face of mental health
Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health.
Career options
Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.   Join our team and take your career to the next level with Catasys. We are committed to promoting from within.
Excellent compensation

Job Description

As a Data Analyst, you will drive innovation, growth, and contribute to the company's ability to scale. Your work continually broadens access to reliable, accurate, and timely data to improve decision making. You will transform data into insights, leading to faster and more extensive exploratory analysis and quicker action based on evidence. Your insights will help grow the business by accelerating sales and customer expansion cycles, reinforcing Catasys' position as an industry leader in data and analytics. You excel at synthesize and communicate complex concepts and analyses in easy to understand ways.
 

Responsibilities

  • Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.
  • Find actionable strategic insights through funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products.
  • Data storytelling: quantify user journeys to help identify opportunities to improve member outcomes and team productivity.
  • Become a Catasys subject matter expert to understand and anticipate the data needs of customers, Product, User Experience, and internal stakeholders.
  • Translate high-priority business problems to solve into concise measures.
  • Lead the Analytics Center of Excellence: a cross-functional team of Data Champions within the organization.
  • Drive a culture of analytical rigor and transparency, and shared understanding of measures
  • Work both collaboratively and autonomously.
  • Define KPIs, build automated dashboards, reports, and models to help teams make faster better decisions.
  • Work with engineering and product to implement, quality assurance, and monitor our logging and metrics.
Qualifications
  • Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
  • 2+ years' experience with PowerBI DAX Programming
  • Expertise performing quantitative analysis
  • Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
  • Strong understanding of statistical methods and applications (A/B testing, probability, regression)
Additional Information

This position is REMOTE.

Apply