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

Data Engineer

Pleasanton, CA · On-site

$60 - $65/hr

We are seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI organization ... Collaborate with Product Managers, Architects, Business Analysts, and stakeholders to translate ...

Data Engineer

Hayward, CA · On-site

$120K - $150K/yr

As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision ... Working closely with the Program Manager, Business Analyst, and IT/IS teams, you will own the ...

Data Engineer - III

San Francisco, CA · On-site

$134K - $162K/yr

... management processes using enterprise data management tools. • Build and maintain scalable ... engineering best practices throughout the development lifecycle. • Collaborate with product ...

Data Engineer

San Francisco, CA · On-site

$111K - $196K/yr

Join us on this journey to redefine resource management-and change lives along the way. The Role As a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data ...

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

... and risk-managing foundation models. Our mandate is to advance research, nurture the next ... The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data ...

Data Engineer

San Francisco, CA · On-site

$79K - $87K/yr

This is a hands-on technical position where you will collaborate closely with product managers, data architects, business analysts, and fellow engineers to design, build, test, and maintain cloud ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or ...

Data Engineer

San Francisco, CA · On-site

$230K - $385K/yr

Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated ... Participate in data architecture and engineering decisions, bringing your strong experience and ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Methodic is seeking a Data Engineer to design and manage data pipelines and storage solutions for their platform. This role involves ensuring efficient and accurate data storage, enabling analytics ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Location: San Francisco and jersey city ( 3 days onsite 2 days remote) look for ... Register data sources and manage metadata to ensure data discoverability and accessibility. • ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines ...

Data Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets * Establish and enforce data ...

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Change Management (CM): Act as the Data Agent for Engineering Change Orders (ECOs). When engineering shifts a design, you analyze the impact on existing repair procedures and manually update the ERP ...

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

... management tools. What You'll Be Doing: * Design and implement the data architecture, ensuring ... Take ownership of key data engineering projects and work independently to design, develop, and ...

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

The role involves designing and managing data pipelines, optimizing database performance, and ... services and data engineering methodologies, applying new insights to enhance our data ...

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Change Management (CM): Act as the Data Agent for Engineering Change Orders (ECOs). When engineering shifts a design, you analyze the impact on existing repair procedures and manually update the ERP ...

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Change Management (CM): Act as the Data Agent for Engineering Change Orders (ECOs). When engineering shifts a design, you analyze the impact on existing repair procedures and manually update the ERP ...

Showing results 21-40

Data Engineer Manager information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

How much do data engineer manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer manager 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 are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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 Data Engineer Manager jobs in San Ramon, CA? For Data Engineer Manager jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in San Ramon, CA look for? The top searched job categories for Data Engineer Manager jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Engineer Manager jobs? Cities near San Ramon, CA with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in San Ramon, CA as of August 2026, with employment types broken down into 57% Full Time, and 43% Temporary. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $144,961 per year, or $69.7 per hour.

$150K - $450K/yr

Full-time

Re-posted 29 days ago


Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
 
As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
Key Responsibilities
  • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines.
  • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.
  • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.
  • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.
  • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.
  • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.
  • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.
  • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.
Academic Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required
  • Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.
Professional Experience - Required
  • Extensive experience in data engineering, data processing, and automation using Python.
  • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines.
  • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization.
  • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes).
  • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges.
  • Strong communication and collaboration skills with cross-functional teams.
Professional Experience - Preferred
  • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery.
  • Experience working with large language models, including evaluation, efficient inference, and prompt engineering.
  • Experience with refining outputs from large-scale AI models, such as LLM-generated data.
  • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow).
  • Familiarity with the latest advancements in NLP data processing and large language model technologies.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability