Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.
About the Role
As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.
Key Responsibilities
Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.
About You
Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.
$200k-250k yearly 3d ago
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Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
Data engineer job in San Jose, CA
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect - Senior Manager, you will have an expert understanding of data architecture and dataengineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing Architecture
Data Architecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of data architects and dataengineers, fostering a culture of innovation and professional development.
In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large dataengineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in dataengineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating dataengineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like Databricks.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
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$172.8k-374k yearly 3d ago
FPGA Build & Regression Validation Lead
Advanced Micro Devices 4.9
Data engineer job in San Jose, CA
A leading technology company located in San Jose is seeking an engineer specialized in FPGA build flows and software automation. The candidate will own FPGA compile/build processes, develop robust regression pipelines, and ensure quality throughout the design and validation phases. An ideal candidate will possess strong experience in toolchain validation and collaboration across teams. This position offers an innovative environment focused on advancing technology and collaboration within a diverse team.
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$105k-142k yearly est. 1d ago
Principal Software Development Build Engineer
Dell 4.8
Data engineer job in Santa Cruz, CA
The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.
Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer
in Santa Clara, California .
What you'll achieve
As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations.
You will:
Architect and optimize build/release pipelines for complex, distributed software
Lead improvements in CI/CD workflows, automation, and developer productivity
Troubleshoot build failures and enforce branching, versioning, and governance standards
Integrate test automation and security checks into pipelines
Mentor engineers and drive adoption of modern build tools and practices
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements
8+ years experience in build/release engineering or DevOps (or equivalent skill)
Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions
Proficiency in Python, Bash or Groovy for automation
Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s)
Desirable Skills:
Bachelor's or Master's degree in Computer Science, Engineering or related field
Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD
Compensation
Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 .
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com
Who we are
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658
$205.7k-266.2k yearly 1d ago
Plumbing Engineer
Appleone Employment Services 4.3
Data engineer job in San Jose, CA
Title: Plumbing Engineer / Designer (Design-Build Focus)
Employment Type: Full-Time
About the Role
We are seeking a highly skilled Plumbing Engineer / Designer to join a fast-growing commercial construction team. This is a design-first role, with estimating as a secondary skill. The ideal candidate will have hands-on experience producing plumbing design-build documents, working in a collaborative design-assist environment, and managing complex commercial projects from concept to permit-ready drawings.
You will work on large-scale commercial projects including labs, kitchens, and other high-profile facilities. Your expertise will directly influence project design, constructability, and budgeting.
Key Responsibilities
Produce complete plumbing design-build documentation: layouts, risers, details, and system narratives
Support design-assist and preconstruction phases, including coordination with architects, engineers, and other trades
Assist estimating efforts: quantity takeoffs, scope development, and ROM pricing
Apply value engineering principles to optimize cost, labor, and constructability
Prepare permit-ready drawings, plan check responses, and RFI follow-ups
Take ownership of projects immediately, working independently and collaboratively with the team
Required Qualifications
Strong commercial plumbing engineering and design experience
Proficient in AutoCAD and Revit (BIM experience a plus)
Experience in a design-build environment
Knowledge of California Plumbing Code (CPC)
Solid project portfolio demonstrating design-build experience
Proven ability to jump into ongoing projects and contribute immediately
Strong coordination and communication skills with other trades and stakeholders
Stable work history with a focus on growth and career development
Preferred Qualifications
Experience with estimating software for takeoffs, scope, and budgeting
Familiarity with value engineering in design-build projects
Salary: $120,000 - $160,000 DOE
Benefits: Competitive benefits package
$120k-160k yearly 4d ago
BIM Engineer
Placement Club
Data engineer job in San Jose, CA
We are seeking an experienced VDC Project Lead to support and lead Virtual Design & Construction efforts on complex mechanical, electrical, and plumbing (MEP) design-build projects. This role serves as a technical and coordination leader, partnering closely with project management, engineering, fabrication, and field teams to drive constructability, clash resolution, and model-based execution from preconstruction through installation.
The ideal candidate brings a strong background in BIM/VDC for MEP systems, a proactive leadership mindset, and the ability to translate digital models into real-world construction success.
Key Responsibilities
VDC Leadership & Coordination
• Lead VDC/BIM execution for assigned projects from preconstruction through closeout
• Develop and manage BIM execution plans (BEPs) aligned with project goals
• Coordinate with internal project teams, trade partners, and design consultants
• Facilitate model coordination meetings and clash detection processes
Modeling & Technical Oversight
• Oversee creation and maintenance of accurate 3D MEP models using Revit and related tools
• Ensure models support fabrication, spooling, and installation workflows
• Validate model accuracy against design documents, specifications, and field conditions
• Support 4D sequencing, layout, and constructability reviews
Project Integration
• Partner with Project Managers and Superintendents to align VDC deliverables with schedules and budgets
• Support prefabrication and modular construction strategies
• Assist field teams with model-based layout, coordination, and problem-solving
• Ensure smooth handoff of models and data to fabrication and field teams
Quality, Standards & Innovation
• Enforce Southland VDC standards, workflows, and best practices
• Mentor and support VDC Coordinators and Modelers
• Identify opportunities to improve processes, tools, and efficiencies
• Stay current on emerging VDC technologies and industry trends
Qualifications Required
• 5+ years of experience in VDC/BIM for construction industry
• Strong proficiency in Autodesk Revit
• Experience leading model coordination and clash detection (Navisworks, BIM 360, ACC)
• Understanding of mechanical, plumbing, and/or electrical systems
• Experience supporting design-build or integrated project delivery (IPD) projects
• Strong communication and cross-functional collaboration skills
• Experience with fabrication modeling and spooling
• Familiarity with AutoCAD, Bluebeam, Dynamo, or similar tools
• Bachelor's degree in Construction Management, Engineering, Architecture or related field preferred (or equivalent experience)
$95k-137k yearly est. 18h ago
ML Engineer: LLMs, VLMs & Reasoning AI | Equity
Tensor
Data engineer job in San Jose, CA
An innovative AI company in San Jose is seeking a skilled Machine Learning Engineer with expertise in developing LLMs and VLMs. The ideal candidate will have a strong education background and proven experience in natural language processing and computer vision. This role offers a competitive salary package, opportunities for growth, and the chance to work on cutting-edge technology that transforms the automotive industry.
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$95k-137k yearly est. 4d ago
Application Specific Integrated Circuit Verification Engineer
ACL Digital
Data engineer job in San Jose, CA
We're looking for a skilled GPU Design Verification Engineer to help ensure the quality and correctness of our low-power GPU architecture.
Requirements
BS in CE/EE (or equivalent) with 5+ years in design verification
Strong experience in SystemVerilog, UVM/OVM, and constrained-random verification
Proficiency in OOP/C++ and scripting (Python/Perl)
Solid understanding of micro-architecture, FSMs, and datapath pipelines
$107k-145k yearly est. 1d ago
SCCM Endpoint Engineer (LARGELY REMOTE/NO C2C)
Amerit Consulting 4.0
Data engineer job in San Jose, CA
Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks an accomplished SCCM Endpoint Engineer.
________________________________________
NOTE- THIS IS LARGELY REMOTE ROLE & ONLY W2 CANDIDATES/NO C2C/1099
*** Candidate must be authorized to work in USA without requiring sponsorship ***
Position: SCCM Endpoint Engineer (Job Id - # 3167240)
Location: Los Angeles CA 90024 (Hybrid-99% Remote/1% onsite)
Duration: 10 months + Strong Possibility of Extension
_________________________________________________________
Candidate will travel onsite to learn/view their setup and come onsite as needed for team building or vendor engagements. Onsite requirements are about 2-3 per year.
____________________________________________________
Required skills and experience:
Ability to monitor and report on statuses of endpoints utilizing SCCM/MECM & Intune.
Understanding of Networking and Active Directory.
Advanced knowledge of Microsoft Windows 10, Mac OS, Intune, Autopilot, SCCM/MECM, JAMF, and other endpoint management solutions
Advanced knowledge of ISS Microsoft Office products (O365, Office 2016, Outlook, Exchange and OWA).
Understanding of project plans, presentations, procedures, diagrams, and other technical documentation.
Understanding of Networking protocols and standards: DNS, DHCP, WINS and TCP/IP, etc.
Ability to work independently with minimal supervision as well as in a team environment.
Ability to follow escalation procedure within the TSD Team and under the ISS umbrella.
Establish standards and procedures for best practices, enabling commitments to established SLA's.
Ability to research and test new technologies and processes.
Demonstrate ability to develop creative solutions to complex problems.
Understanding of various Desktop Management Systems such as anti-virus software, patch management, full disk encryption, SSO/Tap-Badge (Imprivata) software and software delivery.
Ability to prioritize, organize, and execute work assignments.
Ability to communicate the status of various systems to management, leadership and/or support personnel.
Ability to skillfully react to a fluid and constantly changing work environment.
Ability to train, delegate and review the work of staff members.
Advanced knowledge of ticketing systems (ServiceNow).
Strong technical abilities with excellent communication and interpersonal skills.
Advanced knowledge of cloud computing (Azure, Intune, Autopilot, DaaS, Box, OneDrive).
Advanced knowledge of standard desktop imaging and upgrade procedures; SCCM/MECM/MDT, Intune, OSD, PXE, thin vs thick images.
Advanced knowledge of VPN remote software and RDP setup.
Advanced knowledge of Windows and Citrix based printing.
Understand ITIL overview and tier structure support using ticket tracking system.
Advanced knowledge of Apple OSX and iOS operating systems and platforms.
Advanced knowledge of virtualization technologies (Citrix XenApp, XenDesktop, VMWare, Azure Virtual Desktop, Windows 365, Amazon Workspaces).
Advanced knowledge of IT Security applications (Cisco AMP, Aruba OnGuard, DUO, FireEye, Windows Defender, Windows BitLocker, Checkpoint Encryption and USB allowlisting).
___________________________________________
Bhupesh Khurana
Lead Technical Recruiter
Email - *****************************
Company Overview:
Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients businesses forward.
Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws
$103k-153k yearly est. 3d ago
DevOps Engineer
Nextgenpros Inc.
Data engineer job in San Jose, CA
Role: DevOps Engineer
Full Time
Roles & Responsibilities
Key Responsibilities
Design, implement, and maintain CI/CD pipelines for PlainID platform components and policy bundles
Deploy, configure, and manage PlainID services (PDP, PAP, PIP, Decision APIs) across multiple environments
Support policy lifecycle management including versioning, validation, promotion, and rollback
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
Ensure high availability, scalability, and performance of authorization services
Integrate PlainID with IAM systems (Okta, Azure AD, LDAP) and application platforms
Implement security best practices for secrets management, access control, and policy enforcement
Monitor system health, logs, and performance; proactively identify and resolve issues
Collaborate with security architects, application teams, and SREs to align authorization strategy
Support incident management, root cause analysis, and continuous improvement initiatives
Required Skills & Qualifications
Strong experience as a Senior DevOps Engineer supporting enterprise platforms
Hands-on experience with PlainID Authorization Platform (policy deployment, PDP/PAP configuration, policy bundles)
Strong understanding of policy-based access control (PBAC), ABAC, and RBAC models
Expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar)
Proficiency in cloud platforms (AWS, Azure, or GCP)
Strong experience with Docker and Kubernetes
Hands-on knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM)
Experience with monitoring and logging tools (Prometheus, Grafana, Splunk, ELK)
Strong scripting skills (Shell, Python, or similar)
Understanding of security, compliance, and zero-trust principles
$111k-153k yearly est. 18h ago
EHS Engineer [JK-14666]
Shirley Parsons
Data engineer job in San Jose, CA
A semiconductor manufacturing firm is looking to hire an experienced EHS Engineer with a manufacturing background to join the existing EHS team. The individual will be responsible for working with the team to conduct JSAs, lead incident investigations, and site audits. A bachelors degree in a relevant major is required.
The Role:
Work with the EHS team to meet compliance with current OSHA and Cal-OSHA regulations regarding environmental, health, and safety procedures and reporting.
Participate in incident investigations, identify root causes, and support the implementation of effective corrective actions.
Conduct site safety inspections and actively contribute to the safety committee to ensure a hazard-free workplace.
Assist in hazard and risk assessments, environmental impact evaluations, and EHS audits to identify opportunities for improvement.
The Candidate:
2+ years of EHS experience in a manufacturing setting.
Bachelor's degree in environmental, health, safety, chemistry, engineering, and/or other related fields.
Knowledge of state and federal EPA, OSHA, and Cal-OSHA regulations.
$95k-137k yearly est. 2d ago
Sr. DevOps Engineer - AWS
Sogeti 4.7
Data engineer job in San Jose, CA
Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month.
About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications.
What You Will Do at Sogeti
Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments.
Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline.
Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS.
Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring.
Collaborate with development and QA teams during release cycles and troubleshoot production issues.
Apply best practices for cloud security and data protection across application, network, and infrastructure layers.
Oversee Cloudflare updates and database operations to ensure performance and security.
What You Will Bring
Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions.
Proficiency in scripting languages such as JavaScript, Bash, or Python.
Expertise in Infrastructure as Code using CloudFormation or Terraform.
Hands-on experience with container technologies (Docker, Kubernetes, ECS).
Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows.
Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth).
Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies.
Preferred Skills
Experience with Cloudflare and Bitbucket.
Familiarity with building and deploying Node.js applications.
Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray.
Understanding of GDPR and CCPA compliance requirements.
Exposure to scaling applications across multiple geographies.
High-level AI usage in day-to-day activities.
Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.
Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Medical, Prescription, Dental & Vision Insurance
Life Insurance
100% Company-Paid Mobile Phone Plan
3 Weeks PTO + 7 Paid Holidays
Paid Parental Leave
Adoption, Surrogacy & Cryopreservation Assistance
Subsidized Back-up Child/Elder Care & Tutoring
Career Planning & Coaching
$5,250 Tuition Reimbursement & 20,000+ Online Courses
Employee Resource Groups
Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
Disaster Relief Programs
About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best | *************
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant **************************************************************************
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
$135k-185k yearly 4d ago
Staff Software Engineer
Storm3
Data engineer job in San Jose, CA
💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG)
📋 GenAI Healthcare
📍 Hybrid in SF
💸 Competitive base + hefty bonus
We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals.
We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on RAG, knowledge systems, and AI-native backend architectures.
Responsibilities:
Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows.
Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements.
Partner closely with clinical, product, and data science teams to translate real-world clinical workflows
Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management
Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals.
Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy.
Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality.
Work closely with dataengineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives.
Minimum Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
7+ years of professional software engineering experience, with 2+ years working directly with LLM-based systems in production environments.
Hands-on experience designing and deploying RAG architectures
Strong proficiency in Python and experience with modern backend stacks
Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data.
Proven ability to design systems that are scalable, secure, observable, and maintainable.
Preferred Qualifications:
Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets.
Familiarity with LLM evaluation tooling and frameworks
Experience with cloud-native architectures and containerized deployments
📧 Interested in applying? Please click on the ‘Easy Apply' button
$130k-184k yearly est. 4d ago
Staff Simulation Software Engineer
Strativ Group
Data engineer job in San Jose, CA
Location: San Jose (full time onsite)
Engagement: Contract (1099 or W2)
Duration: 6-12 months FTE conversion thereafter.
Hourly rate: The focus is on finding the right person, therefore open to market rate.
Overview
In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution.
Requirements:
Expert experience in simulation software development and systems integration.
Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field.
Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python.
Expert in MATLAB/Simulink and Python.
Extensive experience developing real-time HIL test infrastructures.
Proven ability to develop simulation tools with a focus on usability, modularity, and performance.
Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…)
Experience prototyping Graphical User Interfaces based on user feedback.
Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies.
Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset.
Comfortable working in cross-disciplinary teams and mentoring junior engineers.
Preferred Qualifications
Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics.
Proficiency in the NI software suite (LabVIEW, VeriStand).
Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS
Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles.
Understanding of control theory, GNC algorithms, and physics-based modeling.
Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation.
Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments.
Startup or fast-paced development experience is a plus.
Experience automating and executing test plans.
Familiarity with fault injection methodologies.
Familiarity with lab
$130k-184k yearly est. 3d ago
Full Stack Software Engineer (Python / React)
Arrayo
Data engineer job in San Jose, CA
We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric.
Responsibilities
Architect, build, and maintain backend services using Python (FastAPI, Flask, Django)
Design and implement dynamic and responsive frontends using React.js and/or Vue.js
Create and consume RESTful and GraphQL APIs
Build reusable components and libraries for frontend use
Collaborate across teams to gather requirements, define solutions, and ensure quality
Optimize performance and scalability of applications
Write unit, integration, and end-to-end tests across the stack
Participate in peer code reviews and provide mentorship where appropriate
Required Qualifications
5+ years of experience in full stack development
M.S. degree in relevant domain required
Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django)
Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand)
Experience with Vue.js or interest in working across multiple frontend frameworks
Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint
Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design
Strong understanding of RESTful services, API security, and performance optimization
Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis)
Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI)
Strong communication skills and a collaborative approach to engineering
Preferred Qualifications
Familiarity with TypeScript
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with Docker, Kubernetes, or container orchestration
GraphQL and Apollo Client experience
Familiarity with microservice architecture
Experience working with real-time data (WebSockets, MQTT)
$106k-150k yearly est. 3d ago
Lead Growth Data Scientist - AI Search
Adobe Systems Incorporated 4.8
Data engineer job in San Jose, CA
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
About The Opportunity and Team
AI-powered search (such as ChatGPT, Gemini, and Perplexity) are reshaping how people discover, evaluate, and understand brands. Unlike traditional search channels, these platforms generate synthesized responses, introducing new challenges around brand visibility, accuracy, sentiment, and trust.
Within the Growth Marketing & Insights organization, our team strives to develop deep Category & Customer Insights, as well as measure Marketing Efficiency, operating at the intersection of analytics, experimentation, and strategy. We thrive in ambiguity, move quickly through learning loops, and build repeatable, AI-first measurement frameworks that inform growth decisions. We partner closely with Product, GTM, Finance, and Engineering to bring clarity to emerging problem spaces.
About the Role
We're looking for a Lead Growth Marketing Data Scientist to define and measure success across emerging AI surfaces. This is a highly strategic individual contributor role responsible for inventing the analytics, metrics, and insights that guide growth optimization in a fast-evolving environment. You will work closely with executives and cross-functional partners in a complex, multi-layered organization. You will move teams from intuition to evidence and help compose the organization's overall AI Search approach.
What You'll Do
* Define and evolve measurement metrics & frameworks for brand presence performance in AI-powered search and answer engines.
* Compose exploratory analyses and experiments to drive actions, translating insights into repeatable playbooks through ongoing iterations & feedback.
* Develop proxies and heuristics to connect brand visibility and sentiment to business outcomes (e.g., MAU, LTV, GNARR) where direct attribution is not possible
* Build scalable scorecards, dashboards, or other creative ways of visualization that enable self-serve access to performance
* Set quarterly targets, monitor weekly performance, and deliver actionable insights to senior marketing leaders.
* Translate complex findings into clear narratives that influence strategic decisions and the company-wide AI Search strategy and roadmap.
* Partner deeply with PMM, GTM, SEO/GEO, Social, PR, and Media teams to align on success metrics, priorities, and tradeoffs.
What You'll Need to Succeed
* 6 - 10+ years of experience in growth data science, analytics, or applied experimentation
* Passionate about AI, consumer trends, brand outcomes, and marketing-led growth
* Strong analytical and statistical reasoning, with comfort working from imperfect or incomplete data
* Experience crafting experiments or measurement frameworks without a clear ground truth
* Strategic attitude with the ability to synthesize insights into action
* Proven ability to operate in highly ambiguous, zero-to-one problem spaces as a self-starter
* Strong communication and storytelling skills, influencing across a large, matrixed organization
Nice to Have
* Experience with Search, SEO, recommender systems, or AI/ML-powered products
* Background in NLP, sentiment analysis, or brand measurement
* Experience defining analytics strategy for emerging or first-of-its-kind initiatives
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $163,200 - $236,400
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
$163.2k-236.4k yearly 16d ago
ETL Architect with GCP
Govserviceshub
Data engineer job in San Jose, CA
Role -ETL Architect with GCP
Experience
15+ years' DataEngineering experience.
5+ years' experience of cloud platform services (preferably GCP)
MUST Have: Ex -Goole candidates.
Responsibilities
Design and develop various standard/reusable to ETL Jobs and pipelines.
Work with the team in extracting the data from different data sources like Oracle, cloud storage and flat files.
Work with database objects including tables, views, indexes, schemas, stored procedures, functions, and triggers.
Work with team to troubleshoot and resolve issues in job logic as well as performance.
Write ETL validations based on design specifications for unit testing
Work with the BAs and the DBAs for requirements gathering, analysis, testing, metrics and project coordination.
Requirements
Good knowledge and understanding of cloud based ETL framework and tools.
Good understanding and working knowledge of batch and streaming data processing.
Good understanding of the Data Warehousing architecture.
Knowledge of open table and file formats (e.g. delta, hudi, iceberg, avro, parquet, json, csv)
Strong analytic skills related to working with unstructured datasets.
Excellent numerical and analytical skills.
Technical Skills
Programming & Languages: JAVA
Database Tech: Oracle, Spanner, BigQuery, Cloud Storage
Operating Systems: Linux
Hands -on experience in building and optimizing data pipelines and data sets.
Hands -on experience in migrating integrations from one server to the other
Hands on experience in Dev Ops implementation
Strong Testing and Debugging Skills - writing unit tests and familiarity with the tools and techniques to fix issues.
DevOps knowledge - CI/CD practices and tools.
Hands -on CI/CD experience in automating the build, test, and deployment processes to
ensure rapid and reliable delivery of API updates.
Hands -on experience with data extraction and transformation tasks while taking care of data security, error handling and pipeline performance.
Hands -on experience with relational SQL (Oracle, SQL Server or MySQL) and NoSQL databases .
Advance SQL experience - creating, debugging Stored Procedures, Functions, Triggers and Object Types in PL/SQL Statements.
Hands -on experience with programming languages - Java (mandatory), Go, Python.
Hands -on experience in unit testing data pipelines.
Experience in using Pentaho Data Integration (Kettle/Spoon) and debugging issues.
Experience supporting and working with cross -functional teams in a dynamic environment
$107k-147k yearly est. 60d+ ago
Code Data Validation Consultant (Machine Learning & Data Processing)
Us Tech Solutions 4.4
Data engineer job in San Jose, CA
+ Join our team to enable cutting-edge AI/ML innovation by building robust data pipelines and automation tools. + You'll work closely with human data operators and generative AI teams to process, analyze, and optimize high-quality datasets for training machine learning models.
+ Your work will directly impact the efficiency and performance of AI systems, from automating data quality checks to designing infrastructure that scales with evolving model requirements.
+ This role is ideal for a problem-solver who thrives in fast-paced environments and enjoys bridging dataengineering with machine learning.
**Responsibilities:**
+ Data Pipeline Development:
+ Design and implement Python-based automation tools to process, clean, and transform raw data for ML training.
+ Build custom scripts to streamline data ingestion and preprocessing workflows.
+ Quality Analysis & Reporting:
+ Conduct manual and automated quality assessments to identify high/low-impact data for model training.
+ Generate reports detailing experimental results, data effectiveness, and recommendations for improvement.
+ ML Model Integration:
+ Train and evaluate open-source ML models (e.g., Gemma) to assess data impact on model performance.
+ Collaborate with AI teams to refine data selection strategies based on model feedback.
+ Infrastructure Optimization:
+ Develop scalable solutions in Colab/Jupyter Notebooks to automate data validation and filtering.
+ Troubleshoot and debug data formatting issues (e.g., code-comment relevance, dataset consistency).
**Required (Mandatory):**
+ Preferred: 2-3+ years in data analysis/validation/engineering, ML engineering, or automation-focused roles.
+ Bonus: PhD graduates with hands-on ML/data processing projects.
**Required (Desired):**
+ Exposure to Generative AI models (e.g., GPT, Llama) or large-scale datasets.
+ Bash/Shell Scripting: Ability to automate repetitive tasks.
+ Familiarity with APIs for data ingestion/processing.
+ Experience contributing to open-source projects or public GitHub repositories.
+ Knowledge of cloud services.
**Skills:**
+ Technical Expertise:
+ Python: Medium to Advanced proficiency (scripting, automation, data processing libraries like Pandas/NumPy).
+ Hands-on experience writing, executing and reviewing code. (Preferably using Colab/Jupyter Notebooks)
+ Data & ML Skills:
+ Experience training/fine-tuning ML models and analyzing their performance.
+ Familiarity with public data platforms (Hugging Face, GitHub) and data formats (JSON, CSV).
+ Analytical Skills.
+ Proven ability to assess data quality and build tools to automate quality checks.
**Why Join This Project:**
+ Impact AI innovation by shaping the data backbone of advanced ML systems.
+ Collaborate with senior dataengineers and generative AI experts.
+ Flexible hybrid work environment with opportunities for growth.
**Education:**
+ Bachelor's degree in Computer Science, Data Science, Engineering, or related STEM field.
**About US Tech Solutions:**
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
$107k-150k yearly est. 60d+ ago
Apple Games App Engineer
Apple Inc. 4.8
Data engineer job in Cupertino, CA
Apple Games, Apple Arcade and Game Center represent the home of the gaming experience on Apple's platforms, including iPhone, iPad, Mac, Apple TV, and vision OS. Join the Game Services UI team and help us build the Apple Games app and many other user-facing gaming features and systems, integrations that help developers build features into their games. We have an exciting roadmap of features supporting games ranging from mobile, to indie, to AAA, and interacting with a wide variety of operating system areas with the outstanding opportunity to define the face of gaming.
We are seeking an engineer with demonstrated ability building apps and user interfaces with native Apple technologies, including Swift, SwiftUI or Objective-C and UIKit or SwiftUI. In this role you will help define the future of gaming at Apple by helping us to to build new features for the Apple Games app, Game Center, as well as by building new out new system integrations.
Solid knowledge of client/server architecture, networking protocols, and synchronization problems. Experience designing, building, and maintaining public APIs is a plus Experience with user interface performance debugging is a plus BS CS or equivalent experience
In-depth development experience at the application and user interface level with native Apple technologies (Swift or Objective-C, and UIKit or SwiftUI) Deep understanding of operating systems programming concepts, including concurrency and memory management. Experience working closely with a multi-functional team, handling expectations and ultimately delivering great work on time Ability to investigate requirements for projects independently
$141k-186k yearly est. 60d+ ago
Staff Data Scientist - Post Sales
Harnham
Data engineer job in San Jose, CA
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
How much does a data engineer earn in Salinas, CA?
The average data engineer in Salinas, CA earns between $93,000 and $182,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.