Senior Data Engineer, Big Data and Cloud

Vistar Media
New York, NY, United States
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$105,100.0 - $189,600.0
Working hours
Regular working hours
Job source

Tech stack

Geographic Information Systems Airflow Business Analytics Applications Big Data Cloud Computing Cloud Engineering Databases Computer Engineering Information Engineering Extract Transform Load (ETL) DevOps Distributed Computing Environment
+16 more
Python (Programming Language) NumPy DataOps Scala (Programming Language) SciPy Software Engineering SQL Databases Data Streaming Apache Spark Pandas Scikit Learn Information Technology Google Bigquery Apache Kafka Non-relational Database Data Pipelines

Job description

  • 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

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) 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.

Benefits & conditions

3.53.5 out of 5 stars New York, NY Hybrid work $105,100 - $189,600 a year - Full-time

About the company

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.

Apply for this position

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