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7 часов назад

Software Engineer, Data Engineering

180 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Data Engineering (Data Platforms): Designing and building data platform tools, pipelines, and orchestration frameworks for energy intelligence products with an accent on data quality, governance, and large-scale processing. Focus on developing reusable data libraries, supporting streaming and batch workloads, and scaling cloud-native systems for analytical and AI/ML workflows.

Location: United States (remote)

Base pay: $180,000–$250,000+ per year, excluding benefits and potential equity.

Company

hirify.global is building an energy intelligence platform for the AI economy, combining real-time control of energy assets with visibility into energy portfolios.

What you will do

  • Design, build, and maintain data platform tools, pipelines, and orchestration frameworks supporting multiple teams and products.
  • Ensure data quality, contracts, integrity, access, governance, and federation across the data lifecycle.
  • Develop shared libraries and reusable data tools for dihirify.global data flows, sources, and sinks.
  • Partner with Data Science and data-heavy teams on analytical and AI/ML workflows.
  • Review code, maintain technical documentation, and promote test-driven software engineering practices.
  • Evaluate system designs and drive implementation of scalable, high-quality solutions.

Requirements

  • Advanced software development skills in Python, Rust, Java, Scala, or a similar data-oriented ecosystem.
  • Deep understanding of databases, data lake and data warehouse architectures, and cloud-native data pipelines.
  • Experience processing large, complex data in streaming and batch workloads across transactional and analytical systems.
  • Strong commitment to software quality, delivery discipline, and contemporary engineering practices.
  • Regular use of generative AI tools in day-to-day engineering work.
  • Must be based in the United States.

Nice to have

  • Senior-level software development experience or above and technical leadership in data engineering teams.
  • Experience with Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Trino, Iceberg, Postgres, BigQuery, S3, GCS, or similar technologies.
  • Experience building event-driven architectures with Kafka, NATS, Pub/Sub, Kinesis, Flink, or Beam.
  • Experience with managed data platforms, dihirify.global data formats, AI/ML teams, MLflow, Ray, dashboards, or data visualizations.

Culture & Benefits

  • Empathetic, humble, and respectful working environment.
  • Emphasis on honesty, transparency, and effective communication.
  • Flexible hours and unlimited paid time off.
  • Medical, dental, and vision insurance, plus a 401(k).
  • Competitive compensation, equity grant, and a dihirify.global, inclusive workplace.

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