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iPivot

Data Engineer with Data Mining & Python || W2 Only || Remote

Contract · In Office · California (USA)

Posted Jul 29, 2026

  • Data Engineer with Python and Data Mining
  • Remote
  • Contract- W2
  • We are seeking an experienced Data Engineer /Backend Developer with strong Java or Python skills and hands-on experience with large datasets, data processing, and data-driven applications. The role involves designing and maintaining scalable backend services, REST APIs, and data pipelines that collect, transform, analyze, and expose enterprise data.
  • The ideal candidate will have strong software engineering fundamentals, SQL expertise, and experience working with structured and semi-structured data. Exposure to Generative AI, OCR/document processing, cloud platforms, and distributed data technologies is a plus.
  • Key Responsibilities
  • Design, develop, test, and maintain scalable backend applications and APIs.
  • Build data-processing workflows for ingestion, transformation, analysis, and integration with databases, files, APIs, and external systems.
  • Apply data-mining techniques to identify patterns, trends, and anomalies.
  • Optimize query performance, application performance, and data workflows.
  • Collaborate with business analysts, architects, data engineers, and application teams.
  • Participate in solution design, code reviews, documentation, and deployment.
  • Ensure solutions are reliable, maintainable, and scalable.
  • Required Qualifications
  • 10+ years of software development/Data Engineering experience.
  • 3+ years of backend development using Java or Python.
  • 2-3 years of Data Mining experience
  • Experience with REST APIs, microservices, and data-processing applications.
  • Strong SQL skills and experience with relational databases.
  • Experience with data analysis, data mining, or large-scale data processing.
  • Bachelor's degree in computer science, Engineering, IT, or related field.
  • Preferred Qualifications
  • Experience with Spring Boot, Spring Batch, Pandas, NumPy, or Scikit-learn.
  • Familiarity with Spark, Hadoop, Kafka, Databricks, or similar platforms.
  • Exposure unstructured data, NLP, search/vector databases, or machine learning.
  • Experience with AWS, Azure, or Google Cloud.

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Data Engineer with Data Mining & Python || W2 Only || Remote

iPivot

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