Big Data Engineer

Indotronix International Corporation

  • Costa Mesa, CA
  • 2 days ago
  • Remote

    Highlights

    Skills 7+ years of experience building Big Data applications (batch & API)Strong AWS experience (EMR EC2 ECS S3 Step Functions Airflow API Gateway)Proficiency in Scala Pyspark and Java (REST APIs & SOAP web services)Experience with Big Data technologies: Hadoop HDFS Spark MapReduceHands-on experience with CassandraStrong batch processing & performance tuning (Spark Hadoop EMR)Solid Linux experience (shell scripting and/or Python)Experience building data pipelines in Snowflake (ingestion & transformation using Spark). Join Experian as a Big Data Engineer and drive the development, optimization, and support of scalable, high-performance data platforms in the AWS Cloud.

    Numbers & Facts

    LocationCosta Mesa, CA (
    Remote
    )

    Description

    • Current Openings
    • Veterans Program
    • Working With Indotronix
    • Referral Program

    All current openings

    Big Data Engineer

    • Location: Costa Mesa, California 92626
    • Work model: On-site
    • Posted June 22, 2026
    • Job ID: JPC - 205424

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    Job Description

    Big Data Engineer (Mid-Level) - Remote | Experian | 12+ Month Contract

    About the Role

    Join Experian as a Big Data Engineer and drive the development, optimization, and support of scalable, high-performance data platforms in the AWS Cloud. Leverage your expertise to build robust data pipelines and API-driven microservices powering mission-critical systems. This is a fully remote, long-term contract offering you autonomy and technical growth on innovative projects.

    Responsibilities

    • Design, build, and maintain large-scale batch and real-time data pipelines using Spark, Hadoop, and AWS EMR
    • Develop, deploy, and optimize API-based microservices leveraging Java, Scala, and AWS API Gateway
    • Implement data ingestion, transformation, and automation workflows with PySpark, Snowflake, and Airflow
    • Tune and scale data processing systems for maximum performance and reliability
    • Collaborate cross-functionally to deliver high-quality, production-ready solutions in a cloud-first environment
    • Troubleshoot and resolve complex issues in Linux-based environments using shell scripting and Python
    • Ensure best practices in code versioning and CI/CD processes for continuous integration and delivery

    Required Skills and Experience

    • 7+ years designing, developing, and testing Big Data solutions (batch and APIs)
    • Deep hands-on AWS experience: EMR, EC2, ECS, S3, Step Functions, API Gateway, Airflow
    • Proficiency in Scala, PySpark, Java (REST APIs, SOAP web services)
    • Strong knowledge of Hadoop, HDFS, Spark, MapReduce, and Cassandra
    • Experience with performance tuning in Spark, Hadoop, and EMR environments
    • Solid Linux administration skills with shell scripting and Python automation
    • Proven track record building data pipelines and transformations in Snowflake using Spark

    Preferred Skills

    • Familiarity with DevOps tooling: GitHub, GitLab, Bitbucket, IntelliJ, PyCharm
    • Experience with CI/CD: Maven, Gradle, Jenkins, Artifactory, AWS CodeCommit, CloudFormation

    Benefits

    • Fully remote work environment - collaborate from anywhere in the U.S.
    • Work with cutting-edge AWS and Big Data tools
    • Opportunity to own challenging, high-impact projects
    • Long-term contract with potential for future engagement
    • Expand your expertise with a global leader in data-driven solutions

    How to Apply

    Ready to shape the future of data engineering at Experian? Submit your resume today to take the next step in your Big Data engineering career!

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    Interested in this role?

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    Job details

    Job ID JPC - 205424

    Location Costa Mesa, California, United States

    Work Model On-site

    Job Type C2C

    Posted June 22, 2026

    Skills 7+ years of experience building Big Data applications (batch & API)Strong AWS experience (EMR EC2 ECS S3 Step Functions Airflow API Gateway)Proficiency in Scala Pyspark and Java (REST APIs & SOAP web services)Experience with Big Data technologies: Hadoop HDFS Spark MapReduceHands-on experience with CassandraStrong batch processing & performance tuning (Spark Hadoop EMR)Solid Linux experience (shell scripting and/or Python)Experience building data pipelines in Snowflake (ingestion & transformation using Spark)

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