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Senior Data Engineer (AWS)

160 000 - 180 000$
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
Senior Data Engineer (AWS): Building and operating a secure, scalable enterprise lakehouse platform for DoD analytics, AI/ML initiatives, and operational reporting with an accent on Apache Iceberg, Apache Spark, AWS, and data governance. Focus on optimizing distributed data processing, designing event-driven ingestion, managing infrastructure with Terraform, and leading technical discussions and mentoring engineers.

Location: Remote; active Secret Clearance required

Salary: $160,000–$180,000 annually

Company

hirify.global builds secure Software Factories and high-performance software solutions using open technologies for DoD, healthcare, and civilian government agencies.

What you will do

  • Architect, build, and operate an enterprise lakehouse on AWS using Apache Iceberg, Amazon S3, and AWS Glue Catalog.
  • Develop and optimize Apache Spark pipelines across EMR and Kubernetes environments.
  • Design event-driven ingestion solutions using S3 events and Amazon SQS.
  • Optimize queries across Athena, Trino, and Spark SQL, and orchestrate workflows with Apache Airflow.
  • Automate infrastructure deployment with Terraform and maintain data products, dashboards, documentation, and operational runbooks.
  • Provide technical leadership, mentor junior engineers, and collaborate with data scientists, AI engineers, cloud engineers, and stakeholders.

Requirements

  • Active Secret Clearance required.
  • 8+ years of professional experience in data engineering or large-scale data platform development.
  • Advanced Apache Spark expertise, including performance tuning, partitioning, memory optimization, and data-skew management.
  • Strong Python or Scala skills and advanced SQL development experience.
  • Hands-on AWS experience with S3, Glue, EMR, Athena, EC2, SQS, and event-driven architectures.
  • Experience with Apache Iceberg or Delta Lake, Apache Airflow, Terraform, Kubernetes, dashboards, data quality, governance, lineage, and access controls.

Nice to have

  • Enterprise-scale Apache Iceberg operations and Trino administration.
  • Experience with dbt, Helm, GitOps, or modern data visualization platforms.
  • AWS Data Analytics Certification or Certified Kubernetes Administrator certification.
  • DoD, USAF, or federal government data platform experience.
  • Experience supporting AI/ML, data science, or advanced analytics workloads.

Culture & Benefits

  • Collaborative environment with strategists, engineers, designers, and creators.
  • Medical, dental, and vision plans with employee-only healthcare coverage fully paid by the employer.
  • Life insurance and flexible combined paid time off, including bereavement leave and 11 company-paid holidays.
  • 401(k) retirement plan with employer match.
  • Professional development training reimbursement.

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