Dandi

Senior Data Engineer

200k - 200k USD

Hybrid

Full Time

#Engineering

#Apache Spark

#Scala

#K8S

#MLlib

#TensorFlow

#Vertex AI

#Apache Airflow

#BigTable

#BigQuery

Dandi is looking for a Senior Data Engineer

Full Time Senior Hybrid Engineering Apache Spark Scala K8S MLlib TensorFlow Vertex AI Apache Airflow BigTable BigQuery English Remote work Hybrid work Dental insurance Vision insurance Flexible hours

200k - 200k USD per year

Dandi is an enterprise-grade intelligence platform dedicated to workplace diversity, equity, and inclusion. We are looking for a Senior Data Engineer to join our core team and help us build resilient, scalable systems that process massive amounts of data to drive meaningful organizational change.

Responsibilities

Develop and expand our core systems, engines, and product services using Apache Spark for both batch and real-time streaming.
Build and maintain Scala microservices hosted on Kubernetes.
Utilize MLlib and TensorFlow on Vertex AI to tackle complex forecasting, simulation, and machine learning challenges.
Design and deploy new models and engines to support innovative product ideas and data analyses.
Collaborate within a high-throughput environment, currently handling terabytes of data and millions of writes per second.

Must-haves

A Bachelor of Science in Computer Science or an advanced degree.
Advanced understanding of non-relational schema models, including Column Family, Graph, Document, and Object stores.
Proven experience designing advanced architectures, such as KAPPA and LAMBDA topologies.
Strong proficiency in Scala or other JVM-based languages.
Experience working with Python and high-throughput systems.
Professional fluency in English.

Nice-to-haves

Experience working with the Go programming language.

Benefits

The base salary for this position is 200,000 USD.

Flexible work arrangements, including remote and hybrid options.
Flexible working hours to support your personal balance.
Comprehensive dental insurance.
Comprehensive vision insurance.

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