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Data EngineerCloudbridgeusa • Marlborough, Massachusetts, United States
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Data Engineer

Cloudbridgeusa
  • US
    Marlborough, Massachusetts, United States
  • US
    Marlborough, Massachusetts, United States
Postuler Maintenant

À propos

Minimum Education Requirement: This is a professional position, and as such, we require, at minimum, a Bachelor’s degree or higher (or equivalent) in computer science, computer information systems, information technology, Mechanical engineering, Industrial engineering, Any Science Degree or a combination of education equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.
SalaryRange: $105747.00 to $106000.00 per year
Job Description
Design, develop, and maintain scalable ETL/ELT data pipelines processing large-scale structured and unstructured datasets using Python, Apache Spark, Apache Airflow, BigQuery, and cloud-based data platforms to support advanced analytics, machine learning, and business intelligence initiatives.
Develop and implement data transformation frameworks and enterprise data models using dbt, enabling standardized, high-quality datasets for data science, artificial intelligence, and reporting applications.
Architect and optimize cloud-based data solutions, including migration of large-scale data assets from Hadoop environments to Google Cloud Platform (GCP), leveraging BigQuery, Looker, and LookML for enterprise analytics and decision support.
Analyze and optimize data warehouse performance through partitioning, clustering, schema design, workload tuning, monitoring, and automated alerting to ensure data reliability, scalability, and operational efficiency.
Develop enterprise data quality frameworks utilizing statistical analysis, anomaly detection, and automated monitoring techniques to ensure data accuracy, consistency, and integrity across streaming and batch data environments.
Design, build, and deploy machine learning solutions, including feature engineering pipelines, predictive models, and automated MLOps workflows for inventory optimization, audit prioritization, forecasting, and business process improvement.
Implement machine learning model lifecycle management using Vertex AI and related cloud technologies, including model deployment, retraining automation, performance monitoring, drift detection, and production support.
Conduct statistical analyses, experimental design, hypothesis testing, sample size determination, A/B testing, and model validation to evaluate and improve predictive performance of machine learning solutions.
Develop and deploy Generative AI and Retrieval-Augmented Generation (RAG) solutions using large language models (LLMs), LangChain, LangGraph, vector databases, embeddings, and semantic search technologies to support enterprise knowledge management and data discovery.
Design AI-driven automation solutions, including intelligent agents, metadata enrichment systems, prompt engineering frameworks, and retrieval optimization strategies to improve data accessibility and decision-making capabilities.
Establish and maintain enterprise semantic layer standards, data governance controls, certified business metrics, and analytical models using LookML and Looker to support consistent reporting and analytics across business functions.
Collaborate with Data Engineering, Data Governance, Product Management, and Business stakeholders to implement data security controls, row-level security, data lineage tracking, PII governance, and scalable analytics solutions supporting organizational objectives.
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  • Marlborough, Massachusetts, United States

Compétences linguistiques

  • English
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