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Digital - Senior Data Engineer / Data Engineer, Digital Technology
Seattle or Vancouver or Toronto or New York City or Los Angeles
$100k-$300k/yr OnsiteFull Time
Design and optimize scalable batch and real-time data pipelines; build ETL/ELT workflows; deliver governed data models; enforce data quality, governance, privacy, and security; mentor junior engineers.
SQL, Google Cloud Platform (GCP), BigQuery, Snowflake, Redshift, Airflow, Pub/Sub, Customer Data Platform (CDP)
1mo
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Senior Manager, Content Promotion & Distribution Data Engineering
Los Angeles or Los Gatos
$525k-$950k/yr OnsiteFull Time
7+ Mgmt7+ years leading data engineering teams; expertise in data modeling, batch/streaming pipelines, data quality, and multi-modal media pipelines for ML/GenAI; strong stakeholder communication and people management.
S3, Spark
1mo
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Senior Machine Learning Engineer
Glendale or San Francisco or New York
$142k-$199k/yr HybridFull Time
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
Kafka, Kinesis, Spark, Flink, Python, Java, Scala, Go, C++, AWS, Kubernetes, containers, IaC tools
1mo
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Software Engineer 5 - Ads Identity Graph
New York City or Seattle or Los Angeles or Los Gatos
$388k-$558k/yr OnsiteFull Time
Experience designing and operating large-scale identity graphs and identity resolution (deterministic & probabilistic) in batch and near-real-time; familiarity with ad tech, data governance/privacy, and big data tools such as Spark.
Spark, Privacy Enhancing Technologies (PETs)
2mo
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Software Engineer 5 - Ads Audience Activation
New York or Los Angeles or Los Gatos or Seattle
$388k-$619k/yr OnsiteFull Time
Experience in designing scalable batch and streaming data onboarding systems; proficiency in Java, Python, C++, or similar; familiarity with Kafka, Flink; big data tools like Spark; distributed cloud applications; knowledge of ad tech and privacy considerations.
Kafka, Flink, Spark, Java, Python, C++