Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$150к-160к/год
$140к$150кмедиана$190к
По похожим ролям (46) ~ $150к/год
На СНГ рынке: $5.9к/мес ($3.5к - $8.3к)
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Понятная роль ведущего инженера по поддержке данных в крупной страховой компании: зарплата около рыночной медианы, а пакет льгот сильный. При этом в работе много поддержки и есть устоявшиеся корпоративные инструменты, поэтому современной разработки может быть меньше.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Engineers (Data Engineering) (ETL/Data Lakes): Supporting ETL processes and data lake platforms with an accent on Oracle and SQL data warehouse support, production troubleshooting, and performance testing. Focus on resolving data discrepancies, leading platform upgrades, developing new ETL and reporting processes, and mentoring cross-functional teams.
Location: 100% remote from anywhere in the United States; employer location listed as Wellesley Hills, Massachusetts.
Salary: $150,000–$160,000 annually, plus eligibility for a discretionary annual incentive award.
Company
hirify.global U.S. provides employee and government benefits, insurance, healthcare navigation, and related financial security services across the United States.
What you will do
Support ETL workflows, data lake processes, and Oracle and SQL data warehouse platforms.
Monitor production processes, troubleshoot urgent failures, restart jobs, and resolve technical issues.
Analyze data discrepancies, identify root causes, implement code changes, and validate solutions.
Lead technical upgrades, infrastructure changes, load testing, and performance testing.
Create smaller-scale ETL and reporting processes and collaborate with internal business partners.
Mentor team members and coordinate with cross-functional teams to resolve data issues.
Requirements
Bachelor’s degree in computer science, data science, computer or electronics engineering, or a closely related technical field; foreign equivalent degrees accepted.
At least five years of progressive experience in data engineering, data engineering support, or a related occupation.
Experience with system administration, software development, performance testing, load testing, and coding best practices.
Experience with ETL tools such as Informatica PowerCenter, Hadoop, or Qlik.
Experience with job scheduling tools such as Autosys or Control-M and with IBM DataStage.
Must be able to work remotely from anywhere in the United States.
Culture & Benefits
Inclusive, collaborative environment supporting career growth and professional development.
Vacation and sick time, paid family, parental, and adoption leave.
Medical coverage, company-paid life and AD&D insurance, and disability programs.
401(k) employer match, stock purchase options, and an employer-funded retirement account.
Partially paid sabbatical program and reasonable accommodation support for qualified individuals with disabilities.
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