Senior Data Platform Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Platform Engineer in the United States.

In this role, you will design, build, and maintain the data infrastructure that powers analytics, machine learning, and business intelligence at scale. You will collaborate with data scientists, engineers, and analytics teams to ensure reliable, high-quality, and accessible data across the organization. The position emphasizes building streaming data systems, event-driven architectures, and scalable data pipelines. You will contribute to architectural decisions, implement infrastructure as code, and champion best practices in DataOps and reliability. This role offers the opportunity to shape a modern data platform in a remote-first, fast-paced, and mission-driven environment.

Accountabilities:

• Design, develop, and maintain scalable data infrastructure supporting analytics, ML, and BI use cases.
• Build and enhance streaming data systems using technologies such as Kafka, Spark, AWS Kinesis, and Flink.
• Implement infrastructure as code using Terraform or CloudFormation across cloud platforms (AWS, GCP, Azure).
• Collaborate with data scientists, machine learning engineers, and analytics teams to ensure reliable and high-quality data flows.
• Drive adoption of Event-Driven Data Mesh architecture and promote DataOps best practices.
• Contribute to architectural decisions and platform enhancements that improve usability, scalability, and maintainability.

Requirements

• 5+ years of experience in software engineering with strong proficiency in Python.
• 3+ years of experience building and maintaining streaming data systems (Kafka, Spark, AWS Kinesis, Flink).
• Proven experience deploying infrastructure as code using Terraform or CloudFormation.
• Background in software or platform engineering environments, supporting internal developer or data teams.
• Advanced degree in Engineering or a related technical field.
• Experience working remotely in a distributed team environment.
• Strong problem-solving, communication, and collaboration skills.

Preferred:

• Experience building and maintaining data lakes, ideally using Delta Lake or Apache Iceberg.
• Experience collaborating with machine learning engineers or data scientists on Feature Store design and maintenance.
• Familiarity with SRE principles and DevOps/DataOps best practices.

Benefits

• Competitive salary ($130,000 - $160,000/year) with performance-based incentives.
• Remote-first work environment with flexible hours.
• Exposure to cutting-edge data engineering technologies and cloud platforms.
• Opportunities for professional growth and technical leadership.
• Collaborative and inclusive work culture that values diversity and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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