Data Engineer - Mts/smts

SALESFORCE

Base: $117,200 - $223,900 annually; bonus/equity: ...
Python proficiency
Distributed data frameworks (airflow, spark, flink)
Feature store technologies
Design, build, and scale the data that power our machine learning ecosystem, enabling consistent, reliable, and real-time access to features across development, training, and production environments

Job Summary

  • Design, build, and scale the data that power our machine learning ecosystem, enabling consistent, reliable, and real-time access to features across development, training, and production environments.
  • Collaborate closely with data scientists, ML engineers, and data platform teams to streamline feature engineering workflows and ensure seamless integration between offline and online data sources.
  • Implement and maintain scalable features serving offline (batch), online (real-time), and streaming ML use cases, while defining and enforcing governance standards for feature registration, metadata management, lineage tracking, and versioning.

Matching Summary

Design, build, and scale the data that power our machine learning ecosystem, enabling consistent, reliable, and real-time access to features across development, training, and production environments.

Salary

Base: $117,200 - $223,900 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python proficiency
  • Distributed data frameworks (Airflow, Spark, Flink)
  • Feature store technologies
  • Cloud data warehouse (Snowflake)
  • Transformation framework (dbt)
  • Streaming data platforms (Kafka, Kinesis, Flink)
  • Cloud environments (AWS preferred)
  • Infrastructure-as-code tools (Terraform, CloudFormation)
  • CI/CD automation
  • Containerization (Docker, Kubernetes)
  • API-driven integration patterns
  • Data governance and lineage tracking
  • Unstructured databases (vector or graph)
  • RAG pipelines

Nice-to-have

  • Salesforce Ecosystem experience
  • Context engineering for AI systems
  • Collaborative mindset
  • Strong sense of ownership

Key Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
  • 5+ years of experience in data engineering roles

Work Rights

Not specified

Tailored Resume

Cover Letter