GrepJob
Phaidra

Senior Data Platform Engineer

Phaidra
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about 4 hours ago
Remote, United StatesSenior / Staff+
H1B Sponsor

Base Salary

$124k - $200k/yr

Responsibilities

  • Design and build scalable components for the data platform that enable high-throughput data ingestion and processing.
  • Design and develop systems to store and serve batch data for analytics.
  • Contribute to the design and implementation of API services and scalable event-driven applications.
  • Design clear, extensible software interfaces for internal consumers.
  • Own and operate your services in production, including releases and deployments.
  • Lead cross-functional initiatives collaborating with engineers, product managers, and TPMs.
  • Mentor peers and be a technical role model on the team.

Requirements

  • 7+ years of software engineering experience, with significant time spent on distributed or data-intensive systems.
  • Strong experience designing and implementing distributed systems for data ingestion, storage, and processing.
  • Proven expertise building, operating, and monitoring large-scale multi-tenant systems.
  • Ability to take ownership of real-time production systems and align technical with business requirements.
  • Ability to collaborate and communicate effectively in an all-remote setting.
  • Experience with latest batch and real-time data processing technologies such as Apache Flink.

Benefits

  • Fast-paced, team-oriented environment where your work directly shapes the company’s direction.
  • 100% remote work environment.
  • Competitive compensation and meaningful equity.
  • Outsized responsibilities and professional development opportunities.
  • Medical, dental, and vision insurance.
  • Unlimited paid time off, with a required minimum of 20 days per year.
  • Paid parental leave.
  • Flexible stipends to support your workspace and well-being.
  • Company MacBook.

Tech Stack

Apache FlinkDockerGitLab CI/CDGoGoogle BigQueryGoogle Cloud PlatformgRPCKubernetesPostgreSQLPrometheusPythonTerraform

Categories

AI & MLData Engineering