Data Analytics Contractor: 6-9 years (Advanced)

Data Product Manager (DPM) / Data Engineer
Location specific role to Cupertino, CA (Hybrid)
4+ months contract
Pay range - $55-60/hour on W2

ABOUT THE ROLE
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

MINIMUM QUALIFICATIONS
• 8+ years ofexperience 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

PREFERRED QUALIFICATIONS
• 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)