Apply

Senior/Staff Data Engineer

Posted 7 months agoViewed

View full description

📍 Location: North America

🔍 Industry: Advertising technology

🏢 Company: StackAdapt👥 1001-5000💰 $711,643 Series A about 9 years agoDigital MarketingAdvertisingVideo AdvertisingAdvertising PlatformsAd TargetingMobile AdvertisingMachine LearningMarketingAd Retargeting

🗣️ Languages: English

🪄 Skills: Backend DevelopmentLeadershipProject ManagementPythonSoftware DevelopmentApache AirflowApache HadoopArtificial IntelligenceData MiningDesign PatternsElasticSearchHadoopKafkaMachine LearningProduct ManagementSoftware ArchitectureProject CoordinationCross-functional Team LeadershipAirflowAlgorithmsApache KafkaData engineeringData scienceData StructuresGoSparkCommunication SkillsAnalytical SkillsCollaborationC (Programming language)

Requirements:
  • Ability to take an ambiguously defined task, and break it down into actionable steps.
  • Ability to follow through complex projects to completion, both by independent implementation and by coordinating others.
  • Deep understanding of algorithm and software design, concurrency, and data structures.
  • Experience in implementing probabilistic or machine learning algorithms.
  • Experience in designing scalable distributed systems.
  • A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company.
  • Enjoy working in a friendly, collaborative environment with others.
Responsibilities:
  • Design modular and scalable real-time data pipelines to handle huge datasets.
  • Suggest, implement, and coordinate architectural improvements for big data ML pipelines.
  • Understand and implement custom ML algorithms in a low latency environment.
  • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently.
Apply

Related Jobs

Apply

📍 Paris, New York, San Francisco, Sydney, Madrid, London, Berlin

🔍 Communication technology

  • Passionate about data engineering.
  • Experience in designing and developing data infrastructure.
  • Technical skills to solve complex challenges.
  • Play a crucial role in designing, developing, and maintaining data infrastructure.
  • Collaborate with teams across the company to solve complex challenges.
  • Improve operational efficiency and lead business towards strategic goals.
  • Contribute to engineering efforts that enhance customer journey.

AWSPostgreSQLPythonSQLApache AirflowETLData engineering

Posted 5 months ago
Apply