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Remote Aws Data Engineer Jobs in San Ramon, CA (NOW HIRING)

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

New

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... Engineering Professional certification & required classes Hands-on experience in development on ...

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... Data Engineering Professional certification & required classes • Hands-on experience in ...

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Senior / Staff Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

... with exceptional remote candidates considered. Our office is located in Gramercy. Key ... data platform. * You communicate technical tradeoffs clearly and enjoy enabling other engineers and ...

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

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

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

Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the ... such as AWS * A strong product mindset and interest in connecting platform work to user and ...

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Remote Aws Data Engineer information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

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

As of Jul 16, 2026, the average yearly pay for remote aws data engineer in San Ramon, CA is $144,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What is a Remote AWS Data Engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

How does a remote AWS Data Engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.
What are popular job titles related to Remote Aws Data Engineer jobs in San Ramon, CA? For Remote Aws Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
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What cities near San Ramon, CA are hiring for Remote Aws Data Engineer jobs? Cities near San Ramon, CA with the most Remote Aws Data Engineer job openings:
Programmer Analyst, Expert - AWS Cloud & Data Platform Engineer

Programmer Analyst, Expert - AWS Cloud & Data Platform Engineer

Pacific Gas and Electric Company

Oakland, CA • On-site, Remote

Other

Posted 2 days ago

New


Pacific Gas and Electric Company rating

8.9

Company rating: 8.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

5th of 52 rated energy and utility


Job description

Requisition ID # 171953 

Job Category: Information Technology 

Job Level: Individual Contributor

Business Unit: Information Technology

Work Type: Hybrid

Job Location: Oakland

Department Overview

Information Systems Technology Services is a unified organization comprised of various departments which collaborate effectively in order to deliver high quality technology solutions.


Position Summary

Designs, develops, configures, and supports cloud-native applications, data integration solutions, and data platform services utilizing AWS and Snowflake technologies. Responsible for building and operating scalable cloud infrastructure, data pipelines, database replication solutions, and enterprise data platforms that support critical business operations. Partners with business stakeholders, architects, and product teams to design secure, reliable, and cost-effective solutions that enable data-driven decision making across the organization.

Develops Infrastructure as Code (IaC), automates deployment processes, manages cloud-native services, and ensures operational excellence through monitoring, observability, security, and governance best practices.

PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint $128,000 - $173,000. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. 

Bay Area Min: $ 128,000

Bay Area Max: $ 218,000


This position is hybrid, working from your remote office at our Oakland Headquarters based on business need. The assigned work location will be within the PG&E Service Territory.

Job Responsibilities

Cloud Platform Engineering

  • Design, develop, and operate AWS-based solutions using services including API Gateway, Lambda, EC2, S3, IAM, CloudWatch, and Database Migration Service (DMS).
  • Implement Infrastructure as Code using Terraform and enterprise-approved modules and patterns.
  • Design and maintain CI/CD pipelines supporting application, infrastructure, and database deployments.
  • Implement monitoring, logging, alerting, and operational dashboards using CloudWatch and enterprise observability tools.
  • Ensure cloud solutions align with enterprise security, governance, networking, and compliance requirements.


Data Engineering & Snowflake

  • Design and support scalable data ingestion, replication, and transformation pipelines supporting enterprise analytics and operational reporting.
  • Develop and maintain integrations between operational systems, cloud platforms, and Snowflake data environments.
  • Build and optimize Snowflake database objects including schemas, tables, views, tasks, streams, and stored procedures.
  • Support data quality, data validation, metadata management, and governance practices within the Snowflake platform.
  • Tune and optimize Snowflake workloads for performance, scalability, and cost efficiency.


Database & Replication Engineering

  • Administer Microsoft SQL Server databases hosted on AWS EC2 environments.
  • Configure and manage high availability, backup/recovery, patching, monitoring, and performance tuning activities.
  • Design, implement, and support AWS DMS replication processes including Change Data Capture (CDC), latency monitoring, and reconciliation.
  • Analyze and troubleshoot database, replication, and application performance issues.


Operational Excellence

  • Provide production support, incident response, root cause analysis, and continuous service improvements.
  • Collaborate with architects, business stakeholders, and development teams to translate business requirements into technical solutions.
  • Apply cloud cost optimization practices including resource tagging, utilization analysis, right-sizing, and FinOps principles.
  • Participate in architecture reviews, operational readiness assessments, and modernization initiatives.
  • Resolve application, infrastructure, and data platform issues of complex scope through cross-functional collaboration.

Qualifications

Minimum Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • 7 years of experience in programming analysis, software engineering, cloud engineering, or data platform development.

Desired Qualifications

  • Experience in the utility or energy sector with understanding of grid operations, outage workflows and customer service processes.
  • 3+ years of hands-on experience deploying and operating production workloads on AWS.
  • Experience with AWS services including API Gateway, Lambda, EC2, S3, IAM, and CloudWatch.
  • Experience implementing Infrastructure as Code using Terraform.
  • Hands-on Microsoft SQL Server administration experience.
  • Experience building and supporting Git-based CI/CD pipelines.
  • Strong SQL development and database design experience.
  • Working knowledge of cloud security, IAM, networking, and monitoring concepts
  • Experience with AWS DMS and CDC-based replication architectures.
  • Experience supporting enterprise-scale AWS environments using centralized governance and shared services models.
  • Experience with Windows Server administration on AWS, including Systems Manager (SSM) and Patch Manager.
  • Knowledge of enterprise networking concepts including VPCs, Transit Gateway, Direct Connect, VPC Endpoints, and hybrid cloud architectures.
  • Experience implementing monitoring and observability solutions using CloudWatch dashboards, alarms, tracing, and operational analytics.
  • Understanding of SQL Server high-availability architectures, replication technologies, and disaster recovery solutions.
  • Experience designing and supporting Snowflake data warehouse and data engineering solutions.
  • Experience with Snowflake Streams, Tasks, Snowpipe, performance tuning, and data governance capabilities.
  • Experience with cost optimization and FinOps practices in cloud environments.
  • Experience supporting utility, energy, or other critical infrastructure systems.
  • AWS certifications (Solutions Architect, Developer, Database Specialty, SysOps)
  • FinOps Certified Practitioner preferred.
  • Snowflake SnowPro certification preferred.

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