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No Experience Data Engineer Jobs in San Ramon, CA

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Role We are seeking an experienced Data Engineer with a background in data engineering and a passion for working with large-scale data sets. Help us develop and expand our data infrastructure and ...

Platform Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Role We are seeking an experienced Data Engineer II with a strong background in data engineering and a passion for working with large-scale data sets. Help us develop and expand our data ...

Data engineer

San Francisco, CA · On-site

$134K - $162K/yr

Responsibilities : • SQL and Snowflake experience along with understanding the data pipelines ... Google Data Engineering Qualifications : Required : • SQL and Snowflake experience along with ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Gain hands-on experience building and optimizing modern data solutions. * Collaborate with experienced engineers, analysts, and cross-functional teams. * Work on high-impact data engineering ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Gain hands-on experience building and optimizing modern data solutions. * Collaborate with experienced engineers, analysts, and cross-functional teams. * Work on high-impact data engineering ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Gain hands-on experience building and optimizing modern data solutions. * Collaborate with experienced engineers, analysts, and cross-functional teams. * Work on high-impact data engineering ...

Data Engineer

Palo Alto, CA · Hybrid

$134K - $161K/yr

Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ... No immigration sponsorship is available for this position. Disclaimer This provides a concise ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala ... No immigration sponsorship is available for this position. The firm's expected hiring range for ...

Data Engineer

San Francisco, CA · Hybrid

$134K - $162K/yr

Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ... No immigration sponsorship is available for this position. Disclaimer This provides a concise ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala ... No immigration sponsorship is available for this position. The firm's expected hiring range for ...

Data Engineer - Health Sensing

Sunnyvale, CA · On-site

$134K - $161K/yr

Description We are looking for a passionate and experienced Data Engineer to join our team focused on powering cutting-edge health research through scalable and reliable data systems. In this role ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Velocity is real. There's no layer of process between an idea and shipping it. We're at an ... Experience building and maintaining ETL/ELT pipelines in a production environment * Working ...

As a Data Engineer Intern within the Platform product group, you'll partner with analytics ... Hands-on experience writing SQL for data analysis and working with relational database concepts

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

There's no layer of process between an idea and shipping it. We're at an inflection point - the ... Experience building and maintaining ETL/ELT pipelines in a production environment * Working ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

There's no layer of process between an idea and shipping it. We're at an inflection point - the ... Experience building and maintaining ETL/ELT pipelines in a production environment * Working ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Extensive experience as a Big Data engineer, with expertise in cloud or on-premise data platforms. * Proficient in at least one modern programming language (Java, Scala, or Python). * Strong ...

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Data Engineer

San Leandro, CA · On-site

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in ... The ideal candidate will have experience developing modern data pipelines, data integration ...

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No Experience Data Engineer information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

How much do no experience data engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for no experience 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 no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What are the most commonly searched types of Data Engineer jobs in San Ramon, CA?

The most popular types of Data Engineer jobs in San Ramon, CA are:

What are popular job titles related to No Experience Data Engineer jobs in San Ramon, CA?

For No Experience Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching No Experience Data Engineer jobs in San Ramon, CA look for?

The top searched job categories for No Experience Data Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for No Experience Data Engineer jobs?

Cities near San Ramon, CA with the most No Experience Data Engineer job openings:

Data Engineer

San Francisco, CA • On-site

$134K - $162K/yr

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Neon Redwood is a data services consulting company, working on cutting-edge AI and data-driven solutions. We are a team of passionate engineers and data experts, and we are currently looking for a Data Engineer to join our team and help us develop and expand our data infrastructure and analytics capabilities.

The Role

We are seeking an experienced Data Engineer with a background in data engineering and a passion for working with large-scale data sets. Help us develop and expand our data infrastructure and analytics capabilities.

The ideal candidate will have at least 2 years of professional experience and a solid understanding of Python, BigQuery, and Google Cloud Platform (GCP) or similar technologies. This full-time role will involve working closely with our CTO and other team members to design, develop, and maintain data pipelines, ETL processes, and data warehousing solutions.


Responsibilities

Collaborate with the CTO and other team members to design, develop, and maintain data pipelines and ETL processes.

Write clean, efficient, and maintainable code in Python and other relevant technologies.

Implement and optimize data storage and processing solutions using BigQuery and Google Cloud Platform (GCP).

Ensure data quality and integrity through proper data validation and monitoring techniques.

Stay up-to-date with the latest industry trends and technologies to ensure our data infrastructure remains competitive.

Assist in the development and launch of new data-driven tools and products.

Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.

2+ years of professional data engineering experience.

Proficiency in Python, BigQuery, and Google Cloud Platform (GCP) or equivalent technologies.

Experience with data pipeline and ETL process design and development.

Excellent problem-solving skills and the ability to work independently or as part of a team.

Strong communication, collaboration, and a passion to develop leadership skills.

Passion for working with large-scale data sets and staying current with industry trends.

Additional Skills (Nice to Have)

Experience with other data processing technologies and platforms (e.g., Apache Beam, Dataflow, Hadoop, Spark).

Experience with data visualization tools and libraries (e.g., Looker, Sigma, D3.js).

Knowledge of machine learning and AI concepts.

Experience with real-time data processing and streaming technologies (e.g., Kafka, Pub/Sub).

  • Fully covered Health Insurance for employees and their eligible dependents
  • Fully covered Vision & Dental for employees and their eligible dependents
  • Unlimited Time Off
  • Company 401k plan with employer contributions
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