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Senior Data Engineer - Paradox Machines

Infinity · Remote · United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
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Listed on the employer's job board (Ashby)

  • Senior Data Engineer
  • Fully remote
  • Client-facing role
  • Snowflake, BigQuery, Databricks
  • Kafka, Flink, Redpanda

Join Paradox Machines as a Senior Data Engineer to build the core infrastructure behind their data and AI products. You will architect modern data platforms, design models for business and AI use, and implement streaming or batch pipelines that serve real-time needs.

This position requires strong client interaction, where you will scope requirements, present architectural decisions, and act as a trusted technical partner. You will work closely with the CEO and a growing senior team to solve complex data problems with a focus on practical results.

What you'll do

  • Architect and implement end-to-end modern data platforms
  • Design data models for business, analytics, and AI consumption
  • Build scalable streaming and real-time data pipelines
  • Lead customer projects and scope technical requirements
  • Present architecture decisions and tradeoffs to stakeholders
  • Ensure data systems support natural language queries by agents

What you'll need

  • Senior-level experience owning production data architecture
  • Deep knowledge of Snowflake, BigQuery, or Databricks implementation
  • Hands-on experience with AWS or GCP cloud infrastructure
  • Proficiency in orchestration and transformation frameworks like dbt
  • Strong understanding of data modeling patterns such as Star Schema or Data Vault
  • Experience implementing streaming pipelines with Kafka, Flink, or Redpanda
  • Excellent communication skills for explaining technical tradeoffs clearly
  • Business-oriented mindset focused on delivering actionable results

Nice to have

  • Direct experience designing semantic layers for LLM and agent consumption
  • Familiarity with metadata management and data governance for AI

Stack

  • Snowflake
  • BigQuery
  • Databricks
  • Kafka
  • Flink
  • Redpanda
  • dbt
  • AWS
  • GCP

How you'll work

  • Fully remote position
  • Compensation adjusted for local cost of living
  • Collaboration with a senior engineering team

What you get

  • Annual salary between $140,000 and $170,000 USD
  • Performance bonus included in compensation
  • Medical, dental, and vision coverage
  • Unlimited paid time off
  • 401(k) retirement plan
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