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Data Product Manager (DPM) / Data Engineer - Contractor

Cupertino, CA, US • Posted 8 days ago • Updated 8 days ago

Contract W2

6 Months

On-site

$50 - $58/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

SQL
SCALA
APACHE SPARK
KAFKA
AIRFLOW
PROD
PRODUCTION

Summary

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

MINIMUM QUALIFICATIONS

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

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)

Rate: $50 - 58/hour

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10299352
Position Id: 26-03393
Posted 8 days ago

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