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Data Product Manager (DPM) Data Engineer Contractor
Job Location:
Job Location:
Cupertino, CA - USA
Hourly Salary:
USD 50 - 58
Hourly Salary:
Posted:
8 September 2026 (7 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in providing high-volume contingent staffing direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries.
Title:Data Product Manager (DPM) / Data Engineer - Contractor
Duration: Through 12/31/26 could be extended
Location: Hybrid in Cupertino CA
Overview:
We are looking for a Data Product Manager who can operate well beyond writing instrumentation specifications. This is a broad strategic role that bridges business analytics and engineering. You will drive the strategy design and delivery of next-generation analytical data products partnering with stakeholders across multiple lines of business to define the right metrics semantic layers and visualizations that leadership relies on to make decisions.
RESPONSIBILITIES
- Own the strategy design and end-to-end delivery of analytical data products and visualizations
- Bridge business analytics and engineering teams translating business needs into well-defined instrumentation metrics and data models
- Define and standardize metrics and semantic layers across multiple lines of business
- Engage executive and cross-functional stakeholders communicating effectively with both technical and non-technical audiences
- Partner with engineering on data pipeline design modeling and delivery workflows
- 8 years of experience designing developing and deploying next-generation analytical data products
- 3 years as a Senior IC leading the development of data products and visualizations across multiple lines of business
- Proficiency in SQL and Scala with hands-on experience in data pipeline tools (Apache Spark Kafka Airflow) CI/CD practices and version control
- Strong understanding of data warehousing data modeling (dimensional/star schemas) and metric standardization
- Strong hands-on experience in SQL Spark and Scala and data pipeline tools
- Excellent executive communication skills with both technical and non-technical audiences
- Strong hands-on experience with SQL Spark and Scala in a production environment
- Experience building and maintaining large-scale data pipelines with a focus on scalability performance reliability and data quality
- Experience with modern data platforms and lakehouse technologies (Iceberg Trino Superset)
- Good understanding of data modeling analytics and metric design
- Good problem-solving skills with ability to investigate complex data issues and derive actionable insights
- Exposure to AI/ML recommendation systems feature engineering GenAI RAG or other AI-powered data products (role is not exclusively AI-focused)
At KAYGEN people are at the heart of everything we do. We foster a diverse inclusive and employee-driven culture where every individual is valued empowered and encouraged to bring their authentic self to work. Our candidate-first approach means we are committed to understanding your career goals and connecting you with opportunities that align with your aspirations skills and potential. Whether youre taking the next step in your career or searching for your dream opportunity KAYGEN is more than a staffing partnerwere a community dedicated to helping you grow succeed and thrive. Join us and discover a place where your talent is recognized your ambitions are supported and your future is built alongside a team that invests in your success every step of the way.
Our team of experienced staffing experts will work with you to find you the best opportunity. For more information please visit us at .
Benefits:
- Free Healthcare Insurance
- 401(k) Retirement Plan
- Free Life Insurance
- Sick Time Off
- Mentorship Program
- Certifications
- Referrals
- Family and Wellness benefits
- Continuous Growth and Career Development
Required Experience:
IC
