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Senior Data Engineer with MLOps Experience

Seattle, WA, US • Posted 6 hours ago • Updated 4 hours ago

Contract W2

Contract Independent

Contract Corp To Corp

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Apache Kafka
Apache Flink
Apache Parquet
Data Engineering
Google Cloud Platform
Machine Learning Operations (ML Ops)
Python
SQL
Docker
Query Optimization
Vertex
Machine Learning (ML)
Pandas
Artificial Intelligence

Summary

Hiring: Senior Data Engineer with MLOps Experience

Location: Seattle (downtown, onsite 4 days per week)
Experience: 10+ years
Level: Senior Engineer / Senior Engineer 2
Engagement: Strong preference for W2 employees. Contractors will be considered based on expertise.
Candidate preference: Strong preference for candidates local to Seattle.

We are looking for a seasoned Data Engineer with strong ML platform experience to join a high-impact team building real-time customer event infrastructure on Google Cloud Platform.

Required tech stack:

* Streaming: Kafka consumers, Flink job experience
* Google Cloud Platform Data Stack: BigQuery with strong SQL and query optimization
* Python Data Engineering: Polars or Pandas at scale, Parquet partitioning, large join performance
* ML Pipelines: KFP and Vertex AI pipeline components, Docker basics
* Event Store Design: customer-based partitioning, time-ordered event assembly across sources, schema design for mixed event types (clicks, purchases, returns)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91010005
Position Id: 8966233
Posted 6 hours ago

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