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8 часов назад

Data Solutions Engineer

130 000 - 240 000$
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

Текст:
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TL;DR
Data Solutions Engineer (Python/SQL): Migrating messy municipal data from legacy systems into accurate, trusted production data with an accent on data validation, schema mapping, and customer-facing implementation. Focus on detecting edge cases, operating migration pipelines, and turning recurring onboarding issues into scalable tooling and playbooks.

Location: Hybrid in New York City, with in-person collaboration at the office 3+ days per week

Salary: $130,000–$240,000 per year, plus commission offers

Company

hirify.global is a startup building AI-powered software that replaces legacy municipal and county systems and helps governments streamline public services.

What you will do

  • Own end-to-end data migrations from legacy municipal systems into hirify.global.
  • Work with government staff to understand source systems, configure schema mappings and ingestion settings, and run validations and dry runs.
  • Identify data gaps, inconsistencies, and edge cases before production launch.
  • Lead customer calls and explain data requirements, constraints, and tradeoffs to non-technical stakeholders.
  • Improve migration tools, templates, and playbooks to reduce manual work and time to launch.
  • Partner with Product and Engineering to address recurring operational issues and tooling gaps.

Requirements

  • 2–4 years of experience in data migrations, ETL/ELT, technical implementations, or a related role involving production data.
  • Hands-on ability to read, debug, and ship changes in a Python codebase through pull requests.
  • Strong practical SQL skills for analysis, validation, reconciliation, and transformation.
  • Ability to turn ambiguous stakeholder requirements into concrete, testable migration plans.
  • High ownership and attention to correctness in execution-heavy environments.

Nice to have

  • Experience with Airflow, Dagster, Prefect, or similar workflow orchestration tools.
  • Customer-facing implementation or onboarding experience.
  • Familiarity with geospatial data, GIS tools, ArcGIS, address data, or parcel data.
  • Experience in B2B SaaS or other complex product domains.
  • Experience turning operational problems into playbooks, tooling improvements, and system-level fixes.

Culture & Benefits

  • Regular in-person collaboration with flexibility to work remotely.
  • High autonomy and ownership in a rapidly scaling startup.
  • Opportunity to work closely with the founders and influence the onboarding process.
  • Equity or stock options.
  • Medical, dental, and vision insurance, plus a 401(k) program.

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