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10 часов назад

Data Engineer (AWS)

120 000 - 153 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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 (AWS): Designing and operating ELT pipelines and scalable data platforms that turn large, multi-source real estate datasets into product-ready data with an accent on AWS, data modeling, and data quality. Focus on modernizing production workflows, standardizing and matching data across sources, and building reliable platforms for analytics, machine learning, and operational use cases.

Location: Reno, NV, US; hybrid workplace

Base salary: $120,000–$153,700 annually, depending on location, experience, and qualifications.

Company

hirify.global is a real estate analytics, data solutions, and valuation technology company building AI-driven products and platforms for understanding U.S. properties and improving real estate decisions.

What you will do

  • Design, build, and maintain ELT pipelines ingesting data from APIs, object stores, databases, and streaming or queue-based sources.
  • Build scalable data models and transformations for analytics, machine learning, and operational use cases.
  • Own, improve, and modernize production data pipelines and legacy workflows.
  • Standardize and match data across sources, including entity resolution and address normalization.
  • Build data quality checks, monitoring, and alerting to detect issues early.
  • Partner with ML, BI, data operations, and engineering teams while championing code review, testing, documentation, and version control.

Requirements

  • Bachelor’s degree in a technical field or equivalent practical experience.
  • 3–5+ years of overall experience in software or data engineering, including 3+ years of professional Python development.
  • Strong understanding of data modeling, data lake architecture, and master data management concepts.
  • Familiarity with ELT standards and best practices.
  • Hands-on AWS experience with services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.
  • Experience with workflow orchestration such as Airflow and SQL-based transformation such as dbt.
  • Experience with containerization and orchestration such as Docker and Kubernetes.
  • Proficiency with Git and collaborative development on a shared codebase; comfortable using the command line.

Nice to have

  • Experience with open table formats such as Apache Iceberg.
  • Experience with MLS, real estate, property, or other large public-record datasets.
  • Experience building platforms or internal tools used by other engineers.
  • Experience with data lake or lakehouse architectures at scale.

Culture & Benefits

  • Work on customer-facing data products that directly drive revenue and influence real estate valuation and financing decisions.
  • Partner with product management on a roadmap and help shape the architecture and standards of a growing data platform.
  • Benefits include medical, dental, and company-paid vision insurance, a 401(k) with employer match, paid time off, and paid holidays.
  • Additional programs include profit-sharing, communication and referral bonuses, wellness resources, disability coverage, health savings contributions, and virtual primary and mental health care.
  • Career and skill development resources, an anniversary program, and a mission-driven environment are provided.

Hiring process

  • hirify.global does not accept agency resumes or unsolicited resumes submitted to employees, company locations, or the jobs alias.

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