aKube, Inc. is hiring: Senior Data Product in New York

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.