Kollasoft Inc.
Kollasoft Inc.

Senior Big Data Engineer @Hybrid

Hybrid in California City, CA, US • Posted 12 days ago • Updated 12 days ago
Contract W2
Contract Independent
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Analytical Skill
  • Big Data
  • Clustering
  • Communication
  • Data Architecture
  • Data Modeling
  • Decision-making
  • Apache Spark
  • Collaboration
  • Analytics
  • Data Processing
  • Machine Learning (ML)
  • Payroll
  • Performance Tuning
  • Reporting
  • SQL
  • Streaming
  • Data Engineering
  • Python
  • Problem Solving

Summary

Senior Big Data Data Engineering Data Platforms

Location:

  • California Hybrid (Onsite Tue/Wed/Thu)

Experience Level: 10+ Years
Employment Type: W2 Consultants only (On agency payroll)

Role Overview

We are looking for a seasoned Data Platforms / Data Engineering professional to build and support large-scale data systems that enable analytics and business decision-making. This role requires strong hands-on development skills, deep understanding of data architecture, and the ability to collaborate directly with business teams.

What You ll Do

  • Develop, maintain, and enhance enterprise-scale data pipelines supporting structured and unstructured datasets

  • Write efficient, optimized SQL queries and Python-based data processing logic

  • Design and maintain data models to support reporting, analytics, and downstream applications

  • Work with distributed data processing and streaming platforms such as Spark and Kafka

  • Implement transformations and performance tuning using PySpark

  • Translate business requirements into scalable technical data solutions

  • Support analytical use cases using foundational machine learning techniques (e.g., regression, classification, clustering)

  • Partner with product owners, analysts, and business stakeholders to deliver actionable insights

  • Ensure data reliability, scalability, and performance across high-volume environments

Required Qualifications

  • 10+ years of experience in Data Engineering / Data Platform development

  • Strong hands-on expertise with SQL and Python

  • Experience with Big Data ecosystems, including Spark and Kafka

  • Solid background in data modeling and data architecture

  • Working knowledge of PySpark

  • Understanding of basic statistical and ML concepts:

    • Regression

    • Decision Trees

    • Clustering

  • Proven ability to work in business-facing roles

  • Excellent communication and problem-solving skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80122034
  • Position Id: 8892410
  • Posted 12 days ago
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