Senior Data Engineer, Big Data and Cloud
About The Position
Vistar Media is the world's largest digital out-of-home (DOOH) advertising marketplace, offering technology to simplify OOH media buying and selling. Acquired by T-Mobile in January 2025, Vistar Media is now part of T-Mobile Advertising Solutions (T-Ads). T-Ads focuses on building privacy-first advertising and data products using advanced machine learning, large-scale data processing, and cloud technologies. The team develops proprietary algorithms for consumer insights, audience solutions, and advertiser performance measurement, with a strong commitment to consumer privacy. The company is seeking a creative and motivated Senior Data Engineer to work with big data, cloud, and metadata technologies. This role offers the opportunity to directly impact customers and the business, collaborating with engineers, data scientists, and product managers. The team follows structured design principles inspired by Lean Development and encourages continuous learning, mentoring, brainstorming, and collaborative problem-solving in a supportive culture.
Requirements
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
- Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
- 4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)
- 4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)
- 4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)
- Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)
Nice To Haves
- Experience with production-level engineering around GIS and geospatial data processing. (Preferred)
- Familiarity with DevOps practices and tools for DataOps.
- Ability to work quickly and precisely, capturing requirements and designing before implementation.
- Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.
Responsibilities
- Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.
- Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.
- Write robust, efficient, and highly maintainable code in Python, Spark and Scala.
- Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
- Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.
- Also responsible for other duties/projects as assigned by business management as needed.
Benefits
- Corporate Bonus Target: 15%
- Annual bonus or periodic sales incentive or bonus, based on their role.
- Year-end bonus based on company and/or individual performance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
