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7 дней назад

Data Engineer

77 600 - 176 000$
Формат работы
remote (только USA)/hybrid/onsite
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

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TL;DR

Data Engineer: Building and maintaining scalable data pipelines and platforms for mission-driven projects with an accent on Palantir Foundry, ETL/ELT workflows, and data transformation. Focus on diagnosing complex system issues, collaborating with cross-functional teams, and operationalizing data applications at enterprise scale.

Location: Must be based in the USA (Belcamp, MD or Aberdeen Proving Ground, MD).

Salary: $77,600–$176,000 (annualized USD).

Company

A global technology and consulting firm focused on solving complex problems for government and commercial clients through advanced analytics and engineering.

What you will do

  • Design, develop, and maintain complex data applications at enterprise scale.
  • Build and modify data transformations using Palantir Foundry Data Pipeline Builder and Code Repositories.
  • Create software for retrieving, parsing, and processing structured and unstructured data.
  • Develop scalable ETL/ELT workflows to support reporting and analytics.
  • Diagnose errors, read logs, and troubleshoot issues within the Palantir Foundry environment.
  • Guide multi-disciplinary teams in an agile, fast-paced environment.

Requirements

  • 5+ years of experience in application development and data engineering.
  • 3+ years of experience building scalable ETL/ELT workflows.
  • Must hold or be eligible for a Secret clearance.
  • Proficiency with PySpark and Spark SQL.
  • Experience with Palantir Foundry (Ontology, Workshop, Pipeline Builder).
  • Bachelor’s degree required.

Nice to have

  • Experience with Python, SQL, Scala, or Java.
  • Knowledge of public cloud platforms (AWS, Azure, GCP).
  • Experience with distributed computing tools like Databricks, Hadoop, or Kafka.
  • Familiarity with NoSQL databases (MongoDB, Cassandra) and data warehousing (Snowflake, Redshift).
  • Experience with UNIX/Linux and Shell scripting.

Culture & Benefits

  • Comprehensive health, life, disability, and retirement benefits.
  • Paid leave and professional development opportunities.
  • Tuition assistance and dependent care programs.
  • Recognition awards for exceptional performance.
  • Collaborative, people-first culture with support for virtual and hybrid work models.

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