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Remote Emr Support Jobs in California (NOW HIRING)

... support your lifestyle. This position is available as: * Remote If you meet these qualifications ... Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step ...

New

Epic Denials Management Operator

San Jose, CA · Remote

$21 - $28.25/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

Sacramento, CA · Remote

$19.25 - $25.50/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

San Francisco, CA · Remote

$21.25 - $28.25/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

Inglewood, CA · Remote

$18.75 - $25/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

Los Angeles, CA · Remote

$19.50 - $25.75/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

Fresno, CA · Remote

$17.75 - $23.75/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

Monterey, CA · Remote

$20 - $26.50/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

Costa Mesa, CA · Remote

$19.25 - $25.75/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Epic Denials Management Operator

San Diego, CA · Remote

$19 - $25.50/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Document denial details, research conducted, and follow-up activities conducted in relevant EMR and ...

Showing results 41-60

Remote Emr Support information

What is the difference between Remote Emr Support vs Remote EHR Specialist?

AspectRemote Emr SupportRemote EHR Specialist
CredentialsIT certifications, healthcare IT knowledgeHealthcare certifications, EHR system training
Work EnvironmentTechnical support, troubleshootingSystem optimization, user training
Employer & IndustryHospitals, clinics, healthcare IT companiesHealthcare providers, EHR vendors

Remote Emr Support focuses on technical troubleshooting and system maintenance, while Remote EHR Specialists handle user training and system optimization. Both roles require healthcare IT knowledge but differ in daily tasks and focus areas.

What cities in California are hiring for Remote Emr Support jobs?

Cities in California with the most Remote Emr Support job openings:

Infographic showing various Remote Emr Support job openings in California as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.

Junior Data Engineer

Sequoia Connect

Mountain View, CA • On-site, Remote

Full-time

Posted 2 days ago

New


Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.