Senior Data Product EngineeraKUBE • New York, NY, United States

Senior Data Product Engineer

aKUBE • New York, NY, United States

7 hours ago

Job type

Full-time

Job description

City : NYC, NY / Orlando, FL

Onsite / Hybrid / Remote : Hybrid (2 days a week onsite – Mondays and Thursdays)

Duration : 6 months (high potential for extension or conversion)

Rate Range : Up to$85.5 / hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B

Must Have :

Strong SQL and Python programming experience
Experience with Snowflake (data storage, query optimization)
Proficiency with Docker for containerized development
Experience with data pipelines and transformation workflows (ETL / ELT)
Familiarity with media data (Nielsen, Adobe Analytics, or Comscore preferred)
Strong understanding of backend or data engineering principles
Bachelor’s degree in Computer Science, Engineering, or related field

Responsibilities :

Develop and sustain backend systems and data workflows for media forecasting applications.

Write production-level SQL and Python code to support analytical and web-based applications.

Collaborate with Data Engineering, Decision Science, and App Engineering teams to maintain datasets powering key forecasting tools.

Design, build, and optimize transformation logic connecting disparate data sources.

Support the ongoing development and sustainment of an internal forecasting platform used across multiple business units.

Participate in Agile sprint cycles, assisting with prioritization, task management, and technical implementation.

Ensure data quality, operational stability, and timely delivery of enhancements.

Qualifications :

5+ years of experience in software / data engineering or data product development.

Hands-on experience with SQL, Python, Docker, and version control (Git).

Familiarity with Snowflake, Airflow, or other cloud-based data orchestration tools.

Excellent analytical and communication skills to collaborate across data, science, and application teams.

Proven ability to manage both sustainment tasks and new feature development in parallel.

Bachelor’s degree required.

Nice to Have :

Media, entertainment, or advertising analytics experience (linear or digital).

Exposure to AWS modules (S3, EC2, EMR) and cloud data ecosystems.

Experience integrating data with business-facing applications.

Understanding of forecasting, viewership analytics, or revenue management systems.

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