ZipRecruiter

Log In

1

Data Engineer Developer Operations Jobs in California

Full Scope

Data Engineer

San Francisco, CA

$134K - $162K/yr

Job Title: Data Engineer Location: San Francisco, CA Required Clearance : Secret Salary ... Knowledge of DevOps practices and CI/CD pipelines.

Aptino

AI Engineer / Developer

Santa Clara, CA · On-site

$133K - $160K/yr

This role sits at the intersection of data engineering, software development, and AI, ensuring high-quality, reliable data flows from source to model deployment. You will work closely with data ...

Artech Information System LLC

DevOps Engineer

Sunnyvale, CA · On-site

$62 - $84.75/hr

... a DevOps Engineer, you will specialize in developing tools for a continuous deployment of a cloud based networking service platform. You will also help operate and monitor the service.

Redolent, Inc

SRE DevOps Engineer

Sunnyvale, CA · On-site

$67 - $89/hr

... DevOps Engineer LOCATION: Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Key Skills: Splunk ... Experience in managing workloads in private and public data centers * Infrastructure experience ...

PlayStation Global

Data Platform Engineer

San Mateo, CA · On-site

$130K - $156K/yr

Data Platform Engineer We're looking for a highly motivated, hands-on Data Platform Engineer to ... Infrastructure & DevOps * Develop and maintain Infrastructure as Code using Terraform. * Improve ...

Versa Networks

Data DevOps Engineer

Santa Clara, CA · On-site

$200K - $220K/yr

Job Summary We are looking for a Data DevOps Engineer with 8+ years of experience to join our ML/AI team. Responsibilities * Work on data pipeline on various ML/AI products. * Interface with DevOps ...

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time | Exempt | Hybrid Eligible Salary Range ... Azure DevOps (CI/CD, Git, automated deployments) * Business Intelligence platforms, especially ...

Versa Networks

Data DevOps Engineer

Santa Clara, CA · Hybrid

$200K - $220K/yr

Job Summary We are looking for a Data DevOps Engineer with 8+ years of experience to join our ML/AI team. Responsibilities * Work on data pipeline on various ML/AI products. * Interface with DevOps ...

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

Implement DevOps practices and CI/CD pipelines using tools such as Azure DevOps, GitHub, or GitLab * Automate manual processes and improve data delivery and infrastructure efficiency Data Quality ...

Apple

DevOps/Backend Software Engineer

San Diego, CA · On-site

$56 - $76.75/hr

Description As a DevOps/Backend Engineer in our team, you will design, implement, and manage the ... Kubernetes, Docker, database platforms, and event/data pipelines, and model-serving or API ...

Paul Hastings

Senior Data Engineer

Los Angeles, CA

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring ...

next page

Showing results 1-20

All JobsData Engineer Developer Operations JobsData Engineer Developer Operations Jobs in California

Data Engineer Developer Operations information

What cities in California are hiring for Data Engineer Developer Operations jobs? Cities in California with the most Data Engineer Developer Operations job openings:
Data Engineer Developer Operations jobs near you

Data Engineer

Full Scope

San Francisco, CA

$134K - $162K/yr

Other

Posted 9 days ago

Job description

Job Title:Data Engineer
Location:San Francisco, CA
Required Clearance: Secret
Salary:Competitive
We are looking for a skilled Data Engineer with a strong focus on AI and machine learning to join our dynamic team. The ideal candidate will play a critical role in designing, implementing, and optimizing data pipelines and infrastructure to support our AI-driven initiatives. You will collaborate closely with data scientists, machine learning engineers, and software developers to ensure robust data architecture and seamless integration of AI models.
Key Responsibilities:
  • Design, build, and maintain scalable data pipelines and ETL processes to support AI and machine learning workflows.
  • Collaborate with data scientists and machine learning engineers to understand data requirements and translate them into technical solutions.
  • Implement data processing, transformation, and integration solutions to ensure high-quality, clean, and usable data for model training and evaluation.
  • Optimize data storage and retrieval processes for performance and efficiency.
  • Develop and maintain data infrastructure on cloud platforms (e.g., AWS, Google Cloud, Azure) to support AI model deployment and scaling.
  • Implement monitoring and alerting mechanisms to ensure data pipeline reliability and availability.
  • Ensure compliance with data governance and security standards throughout the data lifecycle.
  • Stay current with industry trends and advancements in data engineering, AI, and machine learning.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document data architecture, processes, and workflows comprehensively.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer with a focus on AI and machine learning projects.
  • Strong proficiency in programming languages such as Python, Scala, Java, or SQL.
  • Experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, etc.
  • Solid understanding of data modeling, database design, and data warehousing concepts.
  • Experience with cloud-based data services (e.g., AWS S3, Redshift, EMR, Glue, Google BigQuery, Azure Data Lake).
  • Familiarity with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of DevOps practices and CI/CD pipelines.

Apply