Remote Data Platform Engineer

Jobgether

Maryland

Remote

Full time

14 days+

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Benefits offered by this job

Competitive salary and performance-based bonuses
Generous time-off policy and parental leave
Comprehensive healthcare and retirement savings program
Opportunities for professional development
Flexible remote work environment

Job summary

A technology partner company is seeking a Remote Software Engineer to design, build, and optimize data platforms that have a global impact. The ideal candidate will have over 5 years of experience in software development with strong proficiency in languages like Python, Java, and Scala. Responsibilities include working with big data technologies and mentoring early career engineers. This role offers a competitive salary, generous time off, and opportunities for continuous learning in a flexible remote environment.

Qualifications

  • 5+ years of experience in software development or a related field.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with AWS technologies at scale.

Responsibilities

  • Design, build, and maintain data infrastructure and scalable frameworks.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Ensure data quality, integrity, and security throughout the data lifecycle.

Skills

Python
Java
Scala
Big data technologies
Analytical skills
Communication skills

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

AWS
Kafka
Spark
Hive

Job description

A technology partner company is seeking a Remote Software Engineer to design, build, and optimize data platforms that have a global impact. The ideal candidate will have over 5 years of experience in software development with strong proficiency in languages like Python, Java, and Scala. Responsibilities include working with big data technologies and mentoring early career engineers. This role offers a competitive salary, generous time off, and opportunities for continuous learning in a flexible remote environment.
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