javapythonsqlgoci cdbashdata pipelinessql serverpostgresqlazure data lake
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Мало
$120к-125к/год
$110к$140кмедиана$170к
По похожим ролям (48) ~ $140к/год
На СНГ рынке: $2.6к/мес ($1к - $3к)
67
Хорошая вакансия
развернуть
Роль четко описана и включает актуальные задачи по инженерии данных, но зарплата ниже рыночной медианы, что снижает общую привлекательность предложения.
Кликните для подробной информации
Ниже рынкаСовременный стекПонятные задачиХороший соцпакет
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Infrastructure and Systems Specialist, NA (Python/SQL): Supporting energy metering and utility billing data infrastructure across North American data centers with an accent on database reliability, data quality, automation, and billing accuracy. Focus on tracing meter data lineage, building backend services and pipelines, reconciling readings, and onboarding new facilities.
Location: Denver, CO, Ashburn, VA, or Atlanta, GA; hybrid schedule with 3 days on site and 2 flexible days
Salary: $120,000–$125,000 base plus bonus
Company
hirify.global develops and operates data centers that power, cool, protect, and connect hyperscalers, cloud providers, and large enterprises across North America, EMEA, and Asia Pacific.
What you will do
Support database tables, views, stored procedures, functions, schema changes, deployments, and documentation for internal SQL environments.
Develop and optimize SQL queries for high-volume meter-data analysis, reporting, validation, reconciliation, and troubleshooting.
Build and maintain backend services and automation using Python, Bash, Golang, Java, and SQL for utility billing and sustainability workflows.
Monitor data pipelines from building management and metering systems through PostgreSQL and Microsoft SQL Server environments.
Investigate meter discrepancies, trace data lineage, perform root-cause analysis, and coordinate corrective actions across technical teams.
Support monthly billing, sample and mock bill verification, new-building onboarding, commissioning, and billing-readiness activities.
Requirements
Bachelor’s degree in Computer Science, Data Engineering, Data Science, Statistics, Engineering, or a related quantitative field, or equivalent experience.
Two to three years of experience supporting production databases, data systems, or data-intensive applications.
Intermediate to advanced SQL and Microsoft Excel skills for reporting, analysis, validation, troubleshooting, and reconciliation.
Working proficiency in Python and Bash, with experience in Golang and/or Java.
Experience with GitHub, Azure DevOps, Azure Data Lake, CI/CD, and database change-management tools such as Liquibase.
Understanding of database structures, system integrations, data pipelines, data quality controls, performance, analytical problem-solving, and cross-functional communication.
Culture & Benefits
No-ego, collaborative working environment focused on mutual support and respect.
Medical, dental, and vision coverage, life and disability insurance, paid time off, and employee assistance.
401(k) program with company match and additional voluntary benefits.
Training, development, recognition, and professional growth opportunities.
Above-market total compensation package and a focus on continuous improvement.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →