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Data Engineer II (USC Only)

Data Engineer II (USC Only)

iSoftTek Solutions IncSeattle, WA, US
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Job Description

Job Description

  • Are you passionate about using data and AI to drive environmental innovation at global scale.
  • We’re looking for a Machine Learning Data Engineer to join clients AI for Sustainability team, part of the Worldwide Sustainability Science & Innovation (SSI).
  • In this role, you’ll build and optimize the data pipelines that power next-generation AI models tackling some of the world’s most pressing sustainability challenges in human rights and environmental due diligence across our supplier base.
  • Story Behind the Need – Business Group & Key Projects

Reason for Request : Team culture :

  • You’ll collaborate closely with Applied Scientists, Machine Learning Engineers, and domain experts to design end-to-end data systems that turn raw, complex datasets into AI ready workloads.
  • This is a highly visible, hands-on opportunity to shape how client applies AI to advance sustainability at scale.

    • Typical Day in the Role :

    Daily responsibilities :

  • Design and maintain scalable, automated data pipelines for diverse data types (text, imagery, logs, geospatial, sensor data, and more).
  • Transform, clean, and enrich data for machine learning and AI model training.
  • Collaborate with cross-functional teams to understand data requirements and align them with business and scientific goals.
  • Improve data quality, observability, and lineage tracking across sustainability data assets.
  • Optimize performance and scalability using AWS-native technologies such as S3, Glue, Lambda, Redshift, and Athena.
  • Support ML workflows by enabling reproducible data ingestion, transformation, and feature engineering.

    • Requirements

  • 3+ years of professional experience as a Data Engineer or Machine Learning Data Engineer.
  • Familiarity / High-level understanding of common ML / AI techniques.
  • Proficiency in Python and SQL for data manipulation and automation.
  • Experience with data pipeline frameworks (e.g., Apache Airflow, Spark, or AWS Glue), PySpark, Pandas, and data modeling for ML workflows.
  • Knowledge of data quality, observability, and governance frameworks.
  • Strong working knowledge of AWS services or other cloud services providers for data processing and analytics.
  • Preferred Qualifications
  • Experience preparing datasets for machine learning or AI models (e.g., feature stores, labeling, or training data curation).
  • Familiarity with geospatial, environmental, or sustainability datasets.
  • Demonstrated passion for AI, sustainability, or environmental impact work.

    • Additional Information

  • Contract Duration : 8 months (extendable to convert to blue badge depending on performance)
  • Location : Onsite in Seattle, WA (5 days per week) - highly preferred.
  • Remote option possible if candidate is an exceptional fit.

    • Top 3 must-have hard skills

  • High-level understanding of common ML / AI techniques.
  • Proficiency in Python and SQL for data manipulation and automation.
  • Experience with data pipeline frameworks (e.g., Apache Airflow, Spark, or AWS Glue), PySpark, Pandas, and data modeling for ML workflows.
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    Data Engineer Ii • Seattle, WA, US

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