Top 9 Senior data engineer Jobs in Sacramento, Ca

Senior Data Engineer
Modelyst —Sacramento, CA
- $130,000 - $170,000 a year
- Full-time
- Remote
- System design
- Travel
- US work authorization
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Senior AI Data Engineer
Scribd, Inc. —Sacramento, CA
- $127,500 - $235,000 a year
- Full-time
- 5 years
- Residential
- SQL
- Paid parental leave
- Disability insurance
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Sacramento, CA
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Managed Services - Senior Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Sacramento, CA
- $99,000 - $232,000 a year
- Computer Science
- Java
- Finance
- Paid holidays
- Health insurance
Managed Services - Senior Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Sacramento, CA
- $124,000 - $280,000 a year
- 6 years
- Computer Science
- Java
- Paid holidays
- Health insurance
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Sacramento, CA
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Sacramento, CA
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Sacramento, CA
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office

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senior data engineer jobs near sacramento, ca

Senior Data Engineer

Modelyst
Sacramento, CA

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Job Details

Full-time
$130,000 - $170,000 a year

Qualifications

Responding to infrastructure failures
Infrastructure as Code (IaC)
Improving system uptime or availability
Scalable systems
Infrastructure architecture design
Event-driven architecture
Production systems
Terraform
Scalability
Developing and maintaining backend systems
Cloud Architecture Design (Architecture design skills)
Cloud automation
DevOps automation
Python

Full Job Description

About Modelyst

Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. Our systems support real-world operations and are designed to be reliable, maintainable, and cost-efficient.

We partner directly with academic labs, national laboratories, and enterprise R&D organizations, and maintain long-term engagements in the industrial sector.

The Role

We are hiring a Senior Data Engineer to take a designed-but-not-yet-deployed AWS data platform from architecture to a working MVP at a customer site in Japan and then own its operation from there.

You will work on implementing the system, getting it running in the customer's AWS environment, and proving it out at MVP scope and beyond. You'll be the person accountable for the platform from "deployed" through "running reliably in production" through "evolving as the workload grows."

Initial work is focused on standing up infrastructure, implementing data pipelines and backend services, validating the system end-to-end against real operational data, and bringing it live for an MVP deployment. After launch, the role shifts to operating and extending the platform as the engagement matures.

This role is best suited for engineers who take pride in shipping into production environments where reliability matters and want to own a system over a multi-year arc rather than handing it off.

You will focus on this single engagement rather than being fragmented across multiple projects.

Responsibilities

Implement the designed data pipelines and backend services in Python on AWS
Design and manage AWS infrastructure using Terraform and Terragrunt
Deploy the platform end-to-end into the customer's AWS environment and bring it live for an MVP launch, validating against real operational data
Build out the CI/CD, observability, and runbooks needed to operate the platform reliably
Own the platform after launch — incident response, performance, capacity, and cost
Lead the platform's design evolution from MVP through later production stages, making the data model, scaling, and reliability decisions informed by running it yourself

Requirements

Senior-level experience shipping production backend or data services in Python. You have built systems other people depend on.
Production AWS architecture experience, including event-driven services such as SQS, SNS, EventBridge, Step Functions, and Lambda.
Infrastructure-as-code with Terraform (Terragrunt is our standard). You've stood up and managed cloud infrastructure end-to-end.
You've operated systems in production — incident response, performance, capacity, cost — and been the person accountable when something breaks.

Preferred Experience

Time-series or high-throughput data environments
Industrial, manufacturing, robotics, or IoT systems
ML infrastructure or MLOps tooling
Large-scale data processing frameworks (e.g., Spark, Databricks)
Japanese language ability is helpful but not required

Location

Remote within the United States
Must be authorized to work in the U.S. without employer sponsorship
Collaboration with Japan-based teams is common; Pacific or Mountain time preferred
Occasional travel to Japan may be available

Compensation Range: $130K - $170K

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senior data engineer jobs in sacramento, ca

Senior Data Engineer

Senior AI Data Engineer

Data Engineer - Senior Associate

Managed Services - Senior Data Engineer - Manager

Managed Services - Senior Data Engineer - Senior Manager

Data Engineer - Senior Manager

Applied AI Health Data System Engineer-Senior Manager

Senior Data Scientist Engineer - SFL Scientific

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