Remote Data Platform Engineer — Spark, Kafka & Cloud

United States Digital Space LLC; United States; Remote; USD 147,000 - 184,000; Full time

Benefits offered by this job

Health care insurance

401(k) retirement account

Paid sick time

Paid personal time off

Paid parental leave

Job summary

United States Digital Space LLC is seeking a talented Software Engineer to join our Data Platform team. In this remote role, you will design, build, and optimize data infrastructure to support a wide range of data-driven initiatives and cross-functional projects.

You will partner with analysts and product teams, apply modern data technologies, mentor junior engineers, and help ensure data quality and security across the lifecycle.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software development or a related field.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems.
• Experience with AWS technologies at scale
• Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
• Excellent problem-solving and analytical skills.
• Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment.

Responsibilities

• Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.
• Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.
• Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena.
• Design and implement frameworks and solutions for performance, reliability, and cost-efficiency.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Stay current with emerging technologies and best practices in big data technologies
• Mentor early in career engineers and contribute to a culture of continuous learning and improvement

Skills

Python

Java

Scala

Big data

Cloud AWS

Education

Bachelor's or Master's in CS/Engineering

Tools

Spark

Kafka

Hive

Presto

Airflow

AWS

Job description

United States Digital Space LLC is seeking a talented Software Engineer to join our Data Platform team. In this remote role, you will design, build, and optimize data infrastructure to support a wide range of data-driven initiatives and cross-functional projects.

You will partner with analysts and product teams, apply modern data technologies, mentor junior engineers, and help ensure data quality and security across the lifecycle.