Senior Data Engineer Real-Time ML Infrastructure- 1469Akube • Seattle, Washington, United States
Senior Data Engineer Real-Time ML Infrastructure- 1469
Akube • Seattle, Washington, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Design, build, and maintain scalable batch and real-time data pipelines for user interaction data, metadata, and model features Develop and operate offline and real-time feature stores to support ML inference and training workflows Partner with ML engineers to define data schemas, validation logic, and build production-ready datasets Implement monitoring and observability for data quality and pipeline reliability Optimize data workflows for speed, cost, and scalability across large-scale datasets Translate personalization requirements into robust data infrastructure solutions Participate in selection and adoption of modern data tooling and cloud-native technologies Contribute to team’s technical excellence through code reviews and design discussions Bachelor’s or Master’s in Computer Science, Data Engineering, or related technical field 5+ years of experience building production-grade distributed data systems Expertise in modern data frameworks (Spark, Flink, Beam, Kafka Streams) Proficient in SQL and schema design for high-scale data environments Strong programming skills in Python, Java, or Scala Experience with cloud platforms such as AWS and infrastructure components like data lakes, warehouses, and feature stores Proven ability to support machine learning data workflows and pipelines Experience in building ML infrastructure for personalization or recommendation systems Familiarity with MLOps tools (MLflow, TFX, Kubeflow) Hands-on knowledge of real-time ML serving and online feature generation Prior work in early-stage or 0→1 product development environments Strong cross-functional collaboration with ML and product teams
City : Seattle,WA / Glendale, CA / Burbank, CA / Santa Monica, CA
Onsite / Hybrid / Remote : Onsite (4 days a week onsite)
Duration : 19 months
Rate Range : Up to$92.50 / hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B
Must Have :
- Spark or Flink or Beam or Kafka Streams
- Real-time streaming pipeline experience
- SQL and large-scale schema design
- AWS or equivalent cloud platforms
- Python, Java, or Scala
- ML workflow support (feature engineering, data validation, etc.)
Responsibilities :
Qualifications :
Preferred :
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