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Remote Data Platform Engineer Jobs in Carson, CA

Senior Platform Engineer

Los Angeles, CA ยท On-site +1

$112.60K - $154.60K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA ...

Senior Data Engineer

Los Angeles, CA ยท Remote

$108.50K - $147.40K/yr

Senior Data Engineer Location: Remote Type: Full-Time **We will only consider candidates who are ... A platform-first mindset -- you think beyond individual pipelines and consider ownership ...

Senior Data Engineer

Venice, CA ยท On-site +1

$118.80K - $161.40K/yr

Senior Data Engineer Location: Remote Type: Full-Time **We will only consider candidates who are ... A platform-first mindset - you think beyond individual pipelines and consider ownership ...

Senior Platform Engineer

Los Angeles, CA ยท Remote

$150K - $200K/yr

Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Senior Data Engineer

Los Angeles, CA ยท On-site +1

$200K - $250K/yr

As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do: * Build ...

Data Engineer III

Irvine, CA ยท On-site +1

$130K - $160K/yr

Support Snowflake administration/Looker administration alongside other data platform team members ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

GCP Engineer

Los Angeles, CA ยท On-site +1

Develop and support cloud-based data pipelines, platform components, and environment setup ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

GCP Engineer

Inglewood, CA ยท On-site +1

Develop and support cloud-based data pipelines, platform components, and environment setup ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

GCP Engineer

Costa Mesa, CA ยท On-site +1

Develop and support cloud-based data pipelines, platform components, and environment setup ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Data Engineer

Santa Monica, CA ยท Remote

$125K - $159K/yr

As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds ... remote environment. * Platform & Deployment: Familiarity with cloud-based data platforms ...

Data Engineer

Santa Monica, CA ยท On-site +1

$125K - $159K/yr

As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds ... remote environment. * Platform & Deployment: Familiarity with cloud-based data platforms ...

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Showing results 1-20

Remote Data Platform Engineer information

See Carson, CA salary details

$46.5K

$135.7K

$185.6K

How much do remote data platform engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data platform engineer in Carson, CA is $135,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $143,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are popular job titles related to Remote Data Platform Engineer jobs in Carson, CA? For Remote Data Platform Engineer jobs in Carson, CA, the most frequently searched job titles are:
What cities near Carson, CA are hiring for Remote Data Platform Engineer jobs? Cities near Carson, CA with the most Remote Data Platform Engineer job openings:
Senior Platform Engineer

Senior Platform Engineer

EDO

Los Angeles, CA โ€ข On-site, Remote

$112.60K - $154.60K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


Job description

Who We Are
EDO is the TV outcomes company. Our measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales, helping advertisers, agencies, networks, streamers, and studios understand what works across linear and streaming TV.
We combine immediate engagement signals with decision science, vertical AI, and investment-grade data to help the advertising industry maximize media impact, optimize creative performance, and value every impression. EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For employees residing full-time in NYC, SF, or LA, we have a hybrid work policy of three days in the office and two remote work days.
The Role
EDO is looking for a Senior Platform Engineer to help accelerate our shift toward a platform model. This is a senior IC role on the Infrastructure team focused on paved paths, reusable infrastructure patterns, and self-service workflows that help software, data, and machine learning engineers ship safely and efficiently.
Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA/Airflow, Snowflake, dbt, Chef, Terraform, Spacelift, and emerging ECS/container patterns. The right person has strong AWS and infrastructure-as-code fundamentals, prior exposure to platform engineering practices, and the pragmatism to modernize existing systems without assuming everything should be rebuilt from scratch.
We approach infrastructure as an internal product: understanding engineers' needs, prioritizing high-leverage platform capabilities, and iterating on tools and workflows that make teams faster, safer, and more self-sufficient.
What You Will Do
  • Build and evolve EDO's internal platform capabilities: paved paths, reusable infrastructure modules, deployment standards, documentation, and self-service workflows.
  • Own and improve Terraform and Spacelift-based infrastructure workflows, including module design, reviews, approvals, drift detection, and guardrails.
  • Modernize existing AWS infrastructure, including EC2- and Chef-based systems, while helping teams adopt more standardized and repeatable patterns over time.
  • Support production data and ML platform infrastructure, including MWAA/Airflow, Snowflake, dbt, SageMaker, S3, RDS, and related AWS services.
  • Partner with software, data, and ML engineers as internal customers, turning recurring infrastructure needs into scalable platform capabilities rather than one-off support work.
  • Improve deployment, CI/CD, observability, alerting, and incident response practices so teams can operate production systems with greater confidence.
  • Expand pragmatic ECS/container deployment patterns where they create value, without treating Kubernetes as the default answer.
  • Participate in a lightweight on-call rotation and use operational learnings to reduce toil, improve reliability, and strengthen the platform.

What We Are Looking For
  • 6+ years of experience in platform engineering, infrastructure engineering, SRE, DevOps, cloud infrastructure, or similar roles.
  • Experience building, operating, or contributing to an internal developer platform, infrastructure platform, developer productivity team, or similar platform-oriented function.
  • Strong production experience with AWS, especially EC2, RDS, S3, IAM, networking, load balancing, and related operational patterns.
  • Strong hands-on experience with Terraform or similar infrastructure-as-code tooling, including reusable modules and multi-environment patterns.
  • Comfort working in a data-heavy environment and supporting technologies such as Airflow/MWAA, Snowflake, dbt, SageMaker, S3, and RDS.
  • Product-minded approach to infrastructure: able to understand engineer pain points, prioritize high-impact platform work, document paved paths, and iterate based on adoption and feedback.
  • Strong operational judgment, including debugging production systems, improving observability, and building platform patterns that support reliability, security, and cost efficiency.

Bonus Points
  • Hands-on experience with Spacelift or similar IaC orchestration platforms such as Terraform Cloud or Atlantis.
  • Experience helping an organization adopt platform engineering practices, including paved paths, golden paths, service templates, and developer-facing documentation.
  • Experience with Chef, AWS cost management, security/compliance-driven infrastructure, or production ML/data science infrastructure.

Compensation and Benefits
EDO offers a competitive compensation package. Components of compensation include:
  • Mid-stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • Commuter Benefits
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $170,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.
EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.