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3 часа назад

Manager, Data Engineering (DAFgiving360)

145 000 - 170 000$
Формат работы
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
Manager, Data Engineering (DAFgiving360) (BigQuery/SQL/Python): Building and operating a modern data platform with an accent on scalable ingestion and transformation pipelines, data quality, governance, and cloud-native architecture. Focus on designing reliable analytics-ready datasets, modernizing legacy structures, enabling machine learning and future AI use cases, and supporting production operations.

Location: On site in Westlake or Austin, Texas, United States

Salary: $145,000–$170,000 per year

Company

DAFgiving360 is an independent U.S. nonprofit organization providing donor-advised funds and philanthropic planning tools, with administrative and human resources services provided by hirify.global.

What you will do

  • Build and maintain scalable data ingestion, transformation, integration, and orchestration pipelines.
  • Develop reusable data products and shared engineering patterns using modern cloud data architecture.
  • Improve platform reliability, performance, maintainability, monitoring, alerting, and operational recovery.
  • Onboard data sources across raw, staging, and analytics-ready layers while simplifying legacy structures.
  • Implement data quality checks, automated testing, observability, metadata, lineage, and governance practices.
  • Build foundational data assets for analytics, automation, machine learning, and future AI use cases.

Requirements

  • Must be currently authorized to work full time in the United States without employer sponsorship.
  • Bachelor’s degree in computer science, information systems, engineering, analytics, or a related field, or equivalent experience.
  • 7+ years of experience in data engineering, data architecture, analytics engineering, software engineering, or related technical disciplines.
  • Advanced SQL and data modeling expertise, with experience designing durable business-aligned data structures.
  • Experience with ETL/ELT pipelines, orchestration, cloud data platforms, warehouse/lake/lakehouse environments, and medallion patterns.
  • Experience supporting production systems, data governance, metadata, lineage, data quality, incident response, and cross-functional technical delivery.

Culture & Benefits

  • Regular in-person collaboration through an on-site work arrangement.
  • 401(k) with company match and employee stock purchase plan.
  • Paid vacation, volunteering time, parental leave, and family-building benefits.
  • 28-day sabbatical after every five years of service for eligible positions.
  • Tuition reimbursement and medical, dental, and vision insurance.
  • Growth-oriented environment with continuous learning and cross-functional collaboration.

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