Staff Software Engineer, Data Products

The Ladders
United States
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$202,400.0 - $253,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Distributed Data Store Machine Learning Operational Databases Cloud Services Data Streaming Feature Engineering

Job description

  • Design and maintain reusable feature datasets for various machine learning applications
  • Establish self-service foundations for dataset creation within the organization
  • Translate modeling needs into production-ready feature pipelines in partnership with Data Scientists
  • Identify and prepare source data for feature engineering tasks
  • Balance data features’ freshness, correctness, and efficiency in pipeline design
  • Build datasets for both historical model training and live inferences
  • Design and implement batch and streaming data pipelines for healthcare data

Requirements

  • 8+ years of experience building large-scale production data platforms and distributed data pipelines
  • Strong background in designing reusable datasets for machine learning
  • Experience collaborating closely with Data Scientists to implement feature engineering workflows
  • Proven track record of leading cross-team technical initiatives
  • Expert knowledge of cloud-native data platforms, particularly AWS
  • Proficient in building reliable batch and streaming data pipelines
  • Familiarity with healthcare, behavioral data, or large-scale event data is a plus

Benefits & conditions

  • Equity grants
  • Remote-first work from home culture
  • Flexible Time Off for personal well-being
  • Generous parental leave
  • Comprehensive health, dental, and vision insurance
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA) for wellness expenses
  • Mental Health Support Solutions

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.

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