The DataOps Training in the United States – California, San Francisco, Boston & Seattle by DevOpsSchool is designed for learners who want to move from traditional data or operations roles into modern, automation‑driven DataOps engineering. It blends expert guidance, hands‑on labs, and certification preparation so students and professionals across the US can confidently design and manage high‑performance data pipelines.
What Is DataOps and Why It Matters in the US Tech Ecosystem
DataOps (data operations) applies DevOps principles—automation, collaboration, and continuous delivery—to the entire data lifecycle, from collection and transformation to delivery for analytics and AI. DevOpsSchool defines DataOps as the orchestration of people, processes, and technology to deliver trusted data quickly to data consumers, enabling agility and new data initiatives at scale. For tech hubs like California, San Francisco, Boston, and Seattle, where data‑driven products and AI platforms are core to business, DataOps skills are now critical for engineering and analytics teams.
Why Choose DevOpsSchool for DataOps Training in California and Across the US
DevOpsSchool is a leading global platform for DevOps, DataOps, SRE, DevSecOps, AIOps, MLOps, Kubernetes, and Cloud training and certification. Its DataOps Training in the United States – California is delivered by consultants who have implemented DataOps solutions for major financial services and enterprise clients, giving the program strong industry alignment.
Key reasons this program works well for US‑based learners:
- Real‑world, tool‑centric curriculum aligned with DevOpsSchool’s DataOps Certified Professional (DOCP) path.
- Lifetime access to LMS with recordings, notes, interview kits, and exam dumps, supporting long‑term learning.
- Options for online interactive batches, one‑to‑one mentoring, and corporate workshops to suit different schedules.
Learning Modes and Duration: Flexible for Students and Professionals
The program is structured to work for full‑time students, working professionals, and distributed teams across different US time zones. All formats use focused 3‑hour sessions that combine explanation, demos, and labs.
Training Modes Overview
Weekend and weekday slots are available, and each class typically runs as a 3‑hour interactive session to fit around work or university commitments.
Corporate DataOps Training and Consulting for US Organisations
For teams in California, San Francisco, Boston, Seattle, and other US cities, DevOpsSchool offers corporate DataOps training and consulting. Corporate batches usually include 15–30+ participants, and programs can extend over a month or more depending on depth and internal project goals.
Advantages for organisations:
- Customized curriculum mapped to your data stack, cloud platforms, and compliance needs.
- Trainers and consultants with 16–20+ years of IT experience who work closely with engineering leadership to improve operations and effectiveness.
- Optional paid technical and job support on an hourly basis for complex DataOps and DevOps challenges.
This makes the program relevant for US companies wanting to standardize DataOps practices and build strong internal capabilities.
Guided by Rajesh Kumar – Global DevOps & DataOps Mentor
The DataOps Training in the United States – California is governed and mentored by Rajesh Kumar, a globally recognized architect and trainer with 20+ years of hands‑on experience across DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud. Rajesh has mentored more than 5,000 engineers worldwide and consulted with over 70 software organizations on CI/CD, cloud, automation, and operations.
Learn more about him here:
- Trainer profile: Rajesh kumar
Under his mentorship, students and professionals gain:
- Practical insight into how real US companies implement DataOps in production environments.
- Clear explanations of advanced topics like CI/CD for data, observability, governance, and cloud‑native automation.
- Career guidance for roles such as DataOps Engineer, Platform Engineer, SRE, and DevOps Specialist in top US tech markets.
Curriculum Focus: From Fundamentals to Enterprise‑Grade DataOps
The course is designed to transform a traditional IT, operations, or data professional into a job‑ready DataOps engineer. Rather than focusing only on tools, it builds a strong foundation in principles and then connects them to real implementation patterns.
Typical learning outcomes include:
- Understanding DataOps principles, frameworks, and how they extend DevOps into the data space.
- Designing and automating end‑to‑end data pipelines for ingestion, transformation, and delivery with quality checks built‑in.
- Applying CI/CD, observability, and Infrastructure as Code to data workflows using modern platforms like Airflow, Kafka, Databricks, dbt, and Kubernetes (covered in the wider DOCP track).
- Exploring real‑world cases where DataOps improved reliability, speed, and scalability for enterprise data platforms.
For students, this combination of theory and practice makes the program a concrete roadmap to modern data engineering roles.
Hands‑On Labs, Projects, and Ongoing Support
A major strength of DevOpsSchool’s DataOps Training in the United States – California is its hands‑on orientation. Around 80–85% of the training is dedicated to demos, exercises, and lab work executed on DevOpsSchool’s AWS‑based cloud environment.
Hands‑on experience includes:
- Step‑by‑step labs where learners follow guided instructions and then repeat the exercises independently.
- A real‑time scenario‑based project after course completion, simulating an industry‑style DataOps pipeline from design to monitoring.
- Lifetime LMS access with recordings, slides, notes, exam dumps, and interview kits, so students can revise before interviews or certification exams.
This makes the program particularly useful for students and early‑career professionals who need practical exposure and reusable study material.
Salary Outlook and Career Growth in the United States
In the US, DataOps roles are emerging rapidly in high‑tech regions like California, San Francisco, Boston, and Seattle. According to salary references in the course content, DataOps engineers in the United States – California can expect average salaries around $109,000 per year, with experienced experts reaching $200,000 per year or more depending on role and organization.
How this training supports your career:
- Builds a portfolio of practical skills and projects aligned with the DataOps Certified Professional (DOCP) framework.
- Positions you for DataOps, DevOps/Data Engineer, SRE, and Platform Engineer roles in US enterprises and startups.
- Enhances your profile with a recognized DataOps certification from DevOpsSchool and strong mentorship backing from Rajesh Kumar.
Unique Features of DevOpsSchool’s DataOps Program
DevOpsSchool adds several learner‑centric features that make this DataOps training stand out for US students and professionals.
Feature Snapshot
These features significantly increase long‑term value, especially for learners building careers in competitive US markets.
Positive Feedback from Participants
Learner reviews highlight DevOpsSchool’s interactive sessions, clear explanations, and strong hands‑on focus. Many participants specifically praise Rajesh Kumar’s calm teaching style and his ability to explain complex DevOps and DataOps concepts from basics to advanced level. Feedback also notes that the training helped learners gain confidence, clear interviews, and transition into roles at well‑known MNCs.
A recurring theme is that the program feels “practical and confidence‑building”, with real examples and exercises that mirror production environments rather than purely theoretical content.
Who Should Join DataOps Training in the United States – California
This program is a strong fit for:
- Students and fresh graduates in computer science, IT, data science, or analytics who want a direct pathway into DataOps and modern data engineering.
- DevOps engineers, system administrators, and operations professionals who want to extend their skills into automated data workflows and analytics platforms.
- Data engineers, BI developers, data analysts, and cloud engineers who need to build reliable, scalable data pipelines with CI/CD, observability, and governance.
There are no strict prerequisites, but some IT, operations, or DevOps knowledge is recommended for maximum benefit.
Contact Details and Call to Action
For any queries about schedules, corporate batches, pricing, or personalized learning paths, you can reach DevOpsSchool at:
- Website: devopsschool.com
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 84094 92687
- Phone & WhatsApp (USA): +1 (469) 756-6329