Engineering Lead Visa Sponsorship Jobs in California
Engineering lead visa sponsorship jobs in California are concentrated in the Bay Area, Los Angeles, and San Diego, where companies like Google, Apple, Meta, Salesforce, and Qualcomm regularly file H-1B visa petitions for senior engineering roles. California's density of technology firms, semiconductor manufacturers, and enterprise software companies makes it one of the most active states for engineering lead sponsorship.
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Get Access To All JobsCompensation Range:
$160,000.00 - $190,000.00 Annual Salary
Job Description Summary:
As the Engineering Lead, BI & Analytics, you will lead the design and delivery of trusted analytics products that help Swinerton move beyond static reporting toward faster, more proactive, AI-enabled decision-making. This hands-on engineering leadership role will advance BI, analytics, and data science capabilities through strong architecture, semantic models, dashboard standards, scalable analytical products, and emerging AI-enabled analytics patterns.
Job Description:
Key Responsibilities
- Technical Solution Leadership: Own the BI and analytics solution strategy by defining architecture, standards, and roadmap for trusted reporting, semantic models, analytics products, data science solutions, and AI-enabled analytical experiences that support enterprise decision-making.
- AI-Enabled Analytics Evolution: Help move analytics beyond traditional dashboards by identifying opportunities for natural-language exploration, proactive insights, recommendations, anomaly detection, predictive analytics, and agentic analytics patterns where trusted data, context, and governance support reliable use.
- Stakeholder Partnership: Partner with business leaders, product owners, data engineering, platform teams, and AI stakeholders to translate business needs into scalable analytics and data science solutions aligned to measurable business outcomes.
- Delivery Planning: Translate business priorities into solution approaches, dashboard requirements, semantic model needs, analytical methods, implementation plans, and well-scoped work that enables effective team execution.
- Build scalable analytics products that combine strong data modeling, business context, intuitive user experience, reusable design patterns, and appropriate statistical or AI methods to enable trusted self-service, executive-ready insights, and more proactive decision support.
- Standards and Reusable Patterns: Set standards for dashboard design, semantic modeling, metric definitions, report performance, analytical product design, documentation, testing, deployment, and reusable delivery patterns that improve maintainability, trust, and speed.
- Data Science Leadership: Guide the data science lifecycle from business problem framing and analytical approach through model development, validation, operationalization, and adoption, ensuring predictive and AI-enabled solutions are reliable, explainable, and connected to measurable business outcomes.
- Team Leadership: Lead, coach, and develop a team of BI developers and data scientists, supporting prioritization, delivery execution, issue resolution, technical growth, and cross-discipline collaboration.
- Hands-On Engineering: Contribute directly to design review, code review, and resolution of complex engineering issues to help ensure solution quality, reliability, and production readiness.
Skills, Experience, and Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Statistics, or a related field; advanced degree is a plus.
- 7+ years of experience across BI development, analytics engineering, data visualization, semantic modeling, BI architecture, data platforms, data science, applied analytics, or related technical roles, including experience leading technical teams or delivery efforts.
- Strong expertise in SQL, data modeling, semantic modeling, metric definition, and modern BI and analytics development practices.
- Practical fluency in data science concepts such as statistical analysis, predictive modeling, machine learning, experimentation, model evaluation, and responsible use of AI-enabled analytics.
- Experience designing and delivering business-critical dashboards, reports, analytics products, predictive insights, and self-service reporting capabilities for enterprise audiences.
- Experience with BI and analytics tools such as Power BI, Tableau, Looker, or equivalent technologies; Power BI experience is strongly preferred.
- Experience with modern cloud data platforms and warehouse or lakehouse ecosystems such as Databricks, Snowflake, BigQuery, Azure data services, or equivalent technologies.
- Experience applying AI-enabled analytics patterns such as natural-language data exploration, anomaly detection, forecasting, recommendations, analytical copilots, or agentic analytics is preferred.
- Experience establishing trusted analytics practices through governed metrics, data quality checks, validation, documentation, access controls, model evaluation, human oversight, and adoption support.
- Experience defining dashboard standards, semantic model conventions, analytical product patterns, documentation practices, deployment approaches, and reusable delivery patterns for enterprise analytics solutions.
- Experience translating business needs into clear requirements, analytics designs, data science problem framing, implementation plans, and well-scoped technical work.
- Strong communication and stakeholder management skills, with the ability to explain tradeoffs, align cross-functional teams, and connect analytics, data science, and AI-enabled solutions to business value.
- Construction industry experience is helpful but not required.
Summary of Benefits:
This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.
Anticipated Job Application Deadline:
11/20/2026
About us
Welcome to Swinerton—Building Excellence Since 1888
Swinerton is a 100% employee-owned construction company with a legacy of shaping skylines, transforming communities, and delivering award-winning projects across the United States. Since our founding in 1888, we have remained forward-thinking, operating with accountability, integrity, and a passion for building what matters.
As an integrated ecosystem of expertise, Swinerton brings together talented professionals from diverse backgrounds to deliver innovative and efficient construction solutions. Our collaborative, interdisciplinary approach sets us apart, allowing us to respond to any project challenge—regardless of size, location, or complexity.
When you join Swinerton, you become part of a dynamic network of employee-owners who are committed to excellence, safety, and continuous growth. We invest in your development, offer competitive benefits, and empower you to make a meaningful impact on every project and in every community we serve.
Discover how you can build your future with Swinerton. Explore our open positions and join a team that leads with ownership, integrity, and a shared commitment to success.
Swinerton—Building is not just what we do; it is who we are.
Swinerton is an Equal Employment Opportunity, Minority, Women, Disability, and Veteran Employer.
Our Company is an equal opportunity and affirmative action employer. We have a commitment to provide equal hiring, training, compensation, promotion, transfer, layoff and recall benefits to all individuals without regard to gender, race, color, religion, age, mental or physical disability, medical condition, genetic information, sex, sexual orientation, gender identity and expression, national origin, marital or domestic partner status, veteran status, or any other characteristic protected under federal or state laws or local ordinance or regulation.
We are committed to the safety and security of everyone interested in our company–including those who visit us online. Please note that Swinerton will only invite you to submit work history and personal information related to employment through our career portal Workday (which requires the set-up of a login) and communication will only come from individuals with an email address ending in @swinerton.com. If you receive fraudulent communication please inform us by emailing reportissues@swinerton.com.
Compensation Range:
$160,000.00 - $190,000.00 Annual Salary
Job Description Summary:
As the Engineering Lead, BI & Analytics, you will lead the design and delivery of trusted analytics products that help Swinerton move beyond static reporting toward faster, more proactive, AI-enabled decision-making. This hands-on engineering leadership role will advance BI, analytics, and data science capabilities through strong architecture, semantic models, dashboard standards, scalable analytical products, and emerging AI-enabled analytics patterns.
Job Description:
Key Responsibilities
- Technical Solution Leadership: Own the BI and analytics solution strategy by defining architecture, standards, and roadmap for trusted reporting, semantic models, analytics products, data science solutions, and AI-enabled analytical experiences that support enterprise decision-making.
- AI-Enabled Analytics Evolution: Help move analytics beyond traditional dashboards by identifying opportunities for natural-language exploration, proactive insights, recommendations, anomaly detection, predictive analytics, and agentic analytics patterns where trusted data, context, and governance support reliable use.
- Stakeholder Partnership: Partner with business leaders, product owners, data engineering, platform teams, and AI stakeholders to translate business needs into scalable analytics and data science solutions aligned to measurable business outcomes.
- Delivery Planning: Translate business priorities into solution approaches, dashboard requirements, semantic model needs, analytical methods, implementation plans, and well-scoped work that enables effective team execution.
- Build scalable analytics products that combine strong data modeling, business context, intuitive user experience, reusable design patterns, and appropriate statistical or AI methods to enable trusted self-service, executive-ready insights, and more proactive decision support.
- Standards and Reusable Patterns: Set standards for dashboard design, semantic modeling, metric definitions, report performance, analytical product design, documentation, testing, deployment, and reusable delivery patterns that improve maintainability, trust, and speed.
- Data Science Leadership: Guide the data science lifecycle from business problem framing and analytical approach through model development, validation, operationalization, and adoption, ensuring predictive and AI-enabled solutions are reliable, explainable, and connected to measurable business outcomes.
- Team Leadership: Lead, coach, and develop a team of BI developers and data scientists, supporting prioritization, delivery execution, issue resolution, technical growth, and cross-discipline collaboration.
- Hands-On Engineering: Contribute directly to design review, code review, and resolution of complex engineering issues to help ensure solution quality, reliability, and production readiness.
Skills, Experience, and Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Statistics, or a related field; advanced degree is a plus.
- 7+ years of experience across BI development, analytics engineering, data visualization, semantic modeling, BI architecture, data platforms, data science, applied analytics, or related technical roles, including experience leading technical teams or delivery efforts.
- Strong expertise in SQL, data modeling, semantic modeling, metric definition, and modern BI and analytics development practices.
- Practical fluency in data science concepts such as statistical analysis, predictive modeling, machine learning, experimentation, model evaluation, and responsible use of AI-enabled analytics.
- Experience designing and delivering business-critical dashboards, reports, analytics products, predictive insights, and self-service reporting capabilities for enterprise audiences.
- Experience with BI and analytics tools such as Power BI, Tableau, Looker, or equivalent technologies; Power BI experience is strongly preferred.
- Experience with modern cloud data platforms and warehouse or lakehouse ecosystems such as Databricks, Snowflake, BigQuery, Azure data services, or equivalent technologies.
- Experience applying AI-enabled analytics patterns such as natural-language data exploration, anomaly detection, forecasting, recommendations, analytical copilots, or agentic analytics is preferred.
- Experience establishing trusted analytics practices through governed metrics, data quality checks, validation, documentation, access controls, model evaluation, human oversight, and adoption support.
- Experience defining dashboard standards, semantic model conventions, analytical product patterns, documentation practices, deployment approaches, and reusable delivery patterns for enterprise analytics solutions.
- Experience translating business needs into clear requirements, analytics designs, data science problem framing, implementation plans, and well-scoped technical work.
- Strong communication and stakeholder management skills, with the ability to explain tradeoffs, align cross-functional teams, and connect analytics, data science, and AI-enabled solutions to business value.
- Construction industry experience is helpful but not required.
Summary of Benefits:
This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.
Anticipated Job Application Deadline:
11/20/2026
About us
Welcome to Swinerton—Building Excellence Since 1888
Swinerton is a 100% employee-owned construction company with a legacy of shaping skylines, transforming communities, and delivering award-winning projects across the United States. Since our founding in 1888, we have remained forward-thinking, operating with accountability, integrity, and a passion for building what matters.
As an integrated ecosystem of expertise, Swinerton brings together talented professionals from diverse backgrounds to deliver innovative and efficient construction solutions. Our collaborative, interdisciplinary approach sets us apart, allowing us to respond to any project challenge—regardless of size, location, or complexity.
When you join Swinerton, you become part of a dynamic network of employee-owners who are committed to excellence, safety, and continuous growth. We invest in your development, offer competitive benefits, and empower you to make a meaningful impact on every project and in every community we serve.
Discover how you can build your future with Swinerton. Explore our open positions and join a team that leads with ownership, integrity, and a shared commitment to success.
Swinerton—Building is not just what we do; it is who we are.
Swinerton is an Equal Employment Opportunity, Minority, Women, Disability, and Veteran Employer.
Our Company is an equal opportunity and affirmative action employer. We have a commitment to provide equal hiring, training, compensation, promotion, transfer, layoff and recall benefits to all individuals without regard to gender, race, color, religion, age, mental or physical disability, medical condition, genetic information, sex, sexual orientation, gender identity and expression, national origin, marital or domestic partner status, veteran status, or any other characteristic protected under federal or state laws or local ordinance or regulation.
We are committed to the safety and security of everyone interested in our company–including those who visit us online. Please note that Swinerton will only invite you to submit work history and personal information related to employment through our career portal Workday (which requires the set-up of a login) and communication will only come from individuals with an email address ending in @swinerton.com. If you receive fraudulent communication please inform us by emailing reportissues@swinerton.com.
Engineering Lead Job Roles in California
See all 615+ Engineering Lead Jobs in California
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Search Engineering Lead Jobs in CaliforniaEngineering Lead Jobs in California: Frequently Asked Questions
Which companies sponsor visas for engineering leads in California?
Large technology employers in California with consistent H-1B filing histories for engineering lead roles include Google, Apple, Meta, Salesforce, Adobe, Nvidia, Qualcomm, and Intuit, among others. Enterprise software companies in the Bay Area and semiconductor firms in San Diego and Santa Clara regularly sponsor senior engineering positions. Mid-size startups that have reached Series B or later funding rounds also file for engineering leads, particularly in San Francisco and Los Angeles.
Which visa types realistically fit engineering lead roles in California?
Engineering lead roles qualify as specialty occupations, so the H-1B is the most common visa pathway, requiring a bachelor's degree or higher in engineering, computer science, or a directly related field. Australian nationals can pursue the E-3 visa, which has no lottery and a separate annual cap. Chilean and Singaporean nationals may qualify under H-1B1 visa. F-1 students may work via OPT or STEM OPT if their degree is STEM-designated, with the employer enrolling in E-Verify for STEM OPT. Employer-sponsored EB-2 or EB-3 green cards are also a common long-term pathway for engineering leads at established California companies.
Which cities in California have the most engineering lead sponsorship jobs?
San Francisco and the broader Bay Area, including San Jose, Sunnyvale, Santa Clara, and Mountain View, account for the highest concentration of engineering lead sponsorship activity in California. Los Angeles has a growing cluster of technology and entertainment-tech employers. San Diego is notable for semiconductor, defense-tech, and biotech engineering roles. Smaller hubs like Irvine, Sacramento, and Palo Alto also host engineering lead positions at both established companies and venture-backed startups.
How to find engineering lead visa sponsorship jobs in California?
Migrate Mate lists California employers with verified sponsorship filing history for engineering lead roles, letting you search by city and filter to companies that have actively filed for senior engineering positions. This is more targeted than general job searches because it surfaces employers with a documented track record of sponsoring engineering leads in California, rather than relying on unverified sponsorship claims in job postings.
Are there state-specific factors that affect engineering lead sponsorship in California?
California's large public university system, including UC Berkeley, UCLA, UCSD, and USC, creates a consistent pipeline of engineering talent that employers in the state are accustomed to sponsoring. California also has stricter employment law than many states, so sponsored workers benefit from strong wage and non-compete protections. The state's high concentration of technology and defense contractors means engineering lead roles here frequently meet specialty occupation requirements, which supports H-1B and E-3 visa petition approvals.
What is the prevailing wage for sponsored engineering lead jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.