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Remote Data Engineering Jobs in California (NOW HIRING)

Data Engineer

San Diego, CA ยท On-site +1

$180K - $200K/yr

Position offered by ResMed Digital Health Inc. 100% remote, reporting to: San Diego, CA Minimum ... Employer will accept a Master's degree or equivalent in Computer Science, Computer Engineering or ...

Data Engineer

Emeryville, CA ยท Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Senior Data Engineer

Pasadena, CA ยท On-site +1

$143K - $174K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Who You Are: * 7+ years of development experience in data engineering within a production ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Senior Data Engineer, Risk

Bodega Bay, CA ยท On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Compliance Data Engineering team at Block supports the detection and reporting of suspicious ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Senior Data Engineer

Carlsbad, CA ยท On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL Server

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Remote Data Engineering information

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 the most commonly searched types of Data Engineering jobs in California? The most popular types of Data Engineering jobs in California are:
What job categories do people searching Remote Data Engineering jobs in California look for? The top searched job categories for Remote Data Engineering jobs in California are:
What cities in California are hiring for Remote Data Engineering jobs? Cities in California with the most Remote Data Engineering job openings:
Data Engineer

Data Engineer

MatrixCare

San Diego, CA โ€ข On-site, Remote

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

Responsibilities:

Define, model, validate and provide accessibility of data for stakeholders in the Americas, Asia Pacific and EU. Share ownership of data platform, from ingress through transformation and access/integration in these regions. Work with various teams to define and document data architecture across integrated Enterprise Systems. Design and document data model that supports Enterprise Systems and Analytics. Assemble large, complex data that meet functional and non-functional business requirements. Use infrastructure and services required for optimal extraction, transformation, and loading of data from variety of data sources using SQL and AWS services. Contribute to documentation and maintenance of data catalogue. Design, implement and maintain data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores including data lakes, data warehouses, and data marts. Work collaboratively with Test Engineers to ensure high standard of quality at all levels, ranging from operational efficiency of ETL to accuracy of data. Bring best-practice experience to proactively and continuously build data-related practices within team. Contribute to scalability of both data infrastructure and team processes, standards, and workflow. Work with stakeholders to assist with data related technical issues and support data requirement needs.

Position offered by ResMed Digital Health Inc.

100% remote, reporting to: San Diego, CA

Minimum Requirements

Bachelor's degree or equivalent in Computer Science, Computer Engineering or related field of study and 5 years of progressive experience in Data Engineering. Employer will accept a Master's degree or equivalent in Computer Science, Computer Engineering or related field of study and 1 year of experience in Data Engineering in lieu of a Bachelor's degree or equivalent and 5 years of progressive experience.

Applicants must have demonstrated experience with the following:

  • 3 years (1 year with a Master's degree) of experience working on Enterprise Systems;
  • data architecture;
  • working with structured and semi-structured data architectures;
  • SQL, working with relational databases, query authoring (SQL) and working with a variety of databases;
  • manipulating, processing and extracting value from large (petabyte size), disconnected datasets;
  • developing scalable ETLs and data processes;
  • Snowflake;
  • Oracle EBS databases;
  • Spark, Scala, Kafka, Elasticsearch and Python;
  • AWS cloud services, including S3, DMS, EC2, RDS, Lambda, IAM, SQS and SNS;
  • Terraform, Airflow and Job Scheduler; and
  • shell scripts.

Any and all experience may be gained concurrently.

We are shaping the future at ResMed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world's best talent. We work hard to offer holistic benefits packages, provide flexible work arrangements, cultivate a workforce culture that allows employees to grow personally and professionally, and deliver competitive salaries to our team members. Employees scheduled to work 30 or more hours per week are eligible for benefits. This position qualifies for the following benefits package: comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance. Employees accrue three weeks Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members. Individual pay decisions are based on a variety of factors, such as the candidate's geographic work location, relevant qualifications, work experience, and skills.

Base Pay Range for this position: $180,502 - $200,000 per year

#I-DNI

#LI-DNI

Joining us is more than saying "yes" to making the world a healthier place. It's discovering a career that's challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.