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Manager Data Engineering Jobs in Milpitas, CA (NOW HIRING)

Oclaro

Senior Manager, Data Engineering

San Jose, CA

$134K - $192K/yr

Senior Manager, Data Engineering Responsibility * Architect and implement scalable cloud-based lakehouse/warehouse solutions(Databricks/AWS) * Design and optimize existing and future enterprise data ...

Info Way Solutions

Data engineering

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer who is proficient in SQL and has experience with ... management skills • Ability to prioritize own workload • Ability to work in a fast-paced ...

CoreWeave

Staff Data Engineer - Data Engineering

Sunnyvale, CA · On-site

$134K - $161K/yr

Evaluate and standardize core data technologies across processing, orchestration, cataloging, modeling, and metadata management. * Mentor senior engineers and raise the quality of system design and ...

Nvidia

Manager, Data and AI Engineering

Santa Clara, CA · On-site

$134K - $161K/yr

We are looking for a Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management. This role will drive the build-out of our next ...

Coupang

Director, Data Engineering

Mountain View, CA · On-site

$290K/yr

Define and manage SLAs for data systems * Ensure security and compliance of data per industry standards Minimum Qualifications * 8 years of Data Engineering experience in customer-facing technology ...

GEICO

Senior Manager of Data Engineering

Palo Alto, CA · On-site

$150K - $300K/yr

We're seeking aSenior Manager of Data Engineering to lead the evolution of our Claims Data Platform. This is a high-impact leadership role where you'll manage our current database operations while ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Milpitas, CA

Manager Data Engineering information

See Milpitas, CA salary details

$36.1K

$113.2K

$200.4K

How much do manager data engineering jobs pay per year?

As of Aug 13, 2026, the average yearly pay for manager data engineering in Milpitas, CA is $113,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $146,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Milpitas, CA? The most popular types of Data Engineering jobs in Milpitas, CA are:
What are popular job titles related to Manager Data Engineering jobs in Milpitas, CA? For Manager Data Engineering jobs in Milpitas, CA, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Milpitas, CA look for? The top searched job categories for Manager Data Engineering jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Manager Data Engineering jobs? Cities near Milpitas, CA with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you

Senior Manager, Data Engineering

Stanford Health Care

Palo Alto, CA • On-site

Full-time

Re-posted 20 days ago

Job description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.
Day - 08 Hour (United States of America)
Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data Engineering to lead our data engineering teams. This role is critical to our mission of leveraging data to drive clinical innovation, operational efficiency, enterprise analytics, and groundbreaking research across Stanford Medicine.
This is a Stanford Health Care job.
Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data Engineering to lead our data engineering teams. This role is critical to our mission of leveraging data to drive clinical innovation, operational efficiency, enterprise analytics, and groundbreaking research across Stanford Medicine.
The ideal candidate will be a strategic leader with deep technical expertise who can manage multiple technical teams. You will be responsible for the teams that design, build, and maintain our enterprise data pipelines and platforms, and for partnering with stakeholders to deliver enterprise analytics and operational reporting solutions. This position requires close collaboration with clinical, operational, and research leaders to implement a cohesive strategy for data management, analytics, and governance.
Essential Functions:
  • Team Leadership and Development:
    • Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management.
    • Foster a culture of collaboration, innovation, and operational excellence.
    • Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives.
    • Recruit, coach, and motivate team members, developing leadership competencies within the team.
  • Strategy, Architecture, and Analytics:
    • Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science.
    • Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks).
    • Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders.
    • Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery.
  • Stakeholder Collaboration and Project Management:
    • Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements.
    • Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery.
    • Deploy and facilitate robust project and data governance processes to ensure alignment with enterprise standards.
    • Communicate project status, risks, and outcomes to senior leadership.
  • Governance and Operational Excellence:
    • Ensure the integrity, reliability, and performance of all data platforms and pipelines.
    • Implement and enforce data governance policies and security protocols to protect sensitive patient information and ensure compliance with HIPAA.
    • Establish and support an organizational structure that enables effective enterprise reporting and data management.
    • Develop and manage the operational budget for the data engineering teams and associated cloud services.

Minimum Qualifications:
  • Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. A Master's degree is preferred.
  • Experience:
    • 8+ years of hands-on experience in data engineering, data warehousing, or a related field.
    • 3+ years of experience in a leadership or management role, directly managing multiple technical teams.
    • Experience in a healthcare or academic medical center environment is highly desirable.

Knowledge, Skills, and Abilities:
  • Proven ability to lead, mentor, and grow multiple high-performing engineering teams.
  • Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture.
  • Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics.
  • Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift).
  • Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow).
  • Expert-level SQL skills and proficiency in a programming language such as Python or Scala.
  • Excellent communication, strategic thinking, and stakeholder management skills across a complex, multi-entity organization.

Strong understanding of data security best practices, data governance frameworks, and regulatory requirements, particularly HIPAA
These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.
You will do this by executing against our three experience pillars, from the patient and family's perspective:
  • Know Me: Anticipate my needs and status to deliver effective care
  • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
  • Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.
Base Pay Scale: Generally starting at $83.98 - $111.27 per hour
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

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