Senior Data Engineer, Big Data and Cloud

Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.

From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestlé, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.

As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile's unique customer insights and expansive omnichannel capabilities, we're creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.

At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.

We are adding a creative and motivated Senior Data Engineer to join our team, where you'll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together.

We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive. - Job

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 Education and Work Experience: - 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) Knowledge, Skills and Abilities: - Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required) - 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.

Base Pay Range: $105,100 - $189,600 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year.

Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917¶dox=1 If you're ambitious, highly driven, and interested in making an impact, Vistar is the place for you.

Apply to join our team... we'll see you out there.