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.