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Big Data Engineer
Brea, California  |  Remote
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Applied on November 27, 2022
Job Id #60285 Posted November 2, 2022

Direct Hire Position - Fully remote Big Data Engineer 

Location: REMOTE--Working in the PST 
Max bill rate: 140K 
Employment status: GC and US


•    8+ years of experience as a Data Engineer 
•    Experience w/ any one or more programming languages: Java Scala, or Python
•    Experience in distributed systems: Hadoop or HDFs no SQL Databases

Experian, California, REMOTE
Big Data Engineer 
Direct Hire

Title: Big Data Engineer
Location: Remote 
Opportunity: Full Time
Time Zone: PST
What You’ll Do
•  You’ll be analyzing highly complex business requirements and generating technical specifications to design or redesign complex software components and applications. You’ll be an expert technical resource for modeling, simulation, and analysis efforts. You will leverage industry best practices to design, test, implement and support a solution while assuring security, compliance, and quality requirements are met for reinforced areas. We’re looking for someone that is flexible and thrives in an evolving environment and can adapt to change quickly and adjust work accordingly in a positive manner. Additional responsibilities include:
•  Actively interface with other teams to gather requirements, design, code, debug, document, and implement solutions using cloud tools 
•  Be able to self-manage and required to lead projects with some client-facing responsibilities
•  Highly motivated self-starter, detail and quality oriented able to work independently
•  Champion and manage new initiatives to completion to improve and streamline operational processes and maximize system resources
•  Resolve complex problems that have implications beyond your own area
•  Capable of working proficiently at both the strategic and tactical aspects of a project
•  Strong communication skills when responding to internal and external partners
•  Provide support for applications in the production environment, as needed.
•  Monitor and manage the backup and Disaster Recovery processes
•  Create key performance metrics, measuring the utilization, performance, and overall health of the environment.
•  Report utilization and performance metrics to user communities
•  Develop and maintain operational best practices for the smooth operation of the data analytics environment
What You Know
•  Hands-on programming experience in any one or more programming languages like Java, Scala, or Python
•  Good experience with Distributed systems like Hadoop, HDFs, and No SQL databases
•  Experience in Spark, Hive, or Presto
•  Experience with AWS cloud services: EC2, EMR, Athena
•  Experience with AWS S3, Dynamo DB, RDS
•  Hands-on experience with AWS Lambdas
•  Designing and developing dashboards using Splunk
•  Competent in design/implementation for reliability, availability, scalability, and performance
•  Excellent problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
•  Bachelor’s degree in Computer Science, Information Systems, Engineering, Computer Applications, or related field; Masters preferred

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact

All applicants applying must be legally authorized to work in the country of employment.


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Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.


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