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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$93к-140к/год
$130к$150кмедиана$180к
По похожим ролям (49) ~ $150к/год
На СНГ рынке: $2.6к/мес ($1.3к - $3.4к)
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Понятный объём задач для junior-уровня, указанная зарплата на уровне рынка и практическая работа с данными делают вакансию хорошей возможностью; при этом в юридической фирме разработка техпродукта не является основным направлением.
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Актуальный стекЗарплата на уровне рынкаРазвитие команды данныхЮридическая сфераБез оплаты переработок
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Data Platforms): Building and maintaining data pipelines, models, and ETL/ELT processes that support firm analytics and reporting with an accent on SQL, Python, cloud data platforms, and data quality. Focus on implementing governance, monitoring rerunnable jobs, troubleshooting reliability issues, and supporting data modernization across teams.
Location: Boston, United States; the salary range varies by location, with Boston listed at $92,900–$139,500 annually.
Salary: $92,900–$139,500 per year for Boston.
Company
hirify.global is a global law firm supporting investors, entrepreneurs, and businesses across life sciences, private equity, real estate, technology, and financial industries.
What you will do
Build, test, and maintain data pipelines and data models using orchestration and transformation tools across source systems, warehouses, and analytics platforms.
Support ETL/ELT processes and troubleshoot data quality issues to keep data accurate, timely, and reliable.
Collaborate with data engineers and product owners on data governance, testable code, error handling, rerunnable jobs, monitoring, and observability.
Document data pipelines, schemas, and processes for team knowledge-sharing.
Participate in Agile ceremonies and use Git for all code changes.
Requirements
2+ years of experience in data engineering or a related technical role.
Strong SQL skills, including joins, aggregations, CTEs, and window functions.
Experience with Python for data engineering, scripting, or automation.
Hands-on experience with at least one cloud data platform, such as Snowflake, Databricks, BigQuery, or Redshift.
Understanding of data modeling concepts, including fact tables, dimension tables, and schema design.
Experience using Git or similar source-control tools.
Strong problem-solving skills and attention to data accuracy and detail.
Ability to work independently and collaboratively across teams.
Nice to have
Bachelor’s degree in Computer Science or a related field.
Exposure to law firm application databases such as Aderant Expert, Foundation, or iManage.
Familiarity with ETL/ELT tools such as dbt, Airflow, or similar transformation and orchestration frameworks.
Familiarity with AI/LLM technologies applied to data engineering.
Culture & Benefits
Cross-functional collaboration and learning within the Global Operations Team.
Health, dental, vision, life, and disability insurance.
Retirement and savings plan, paid vacation, sick time, and holidays.
Emergency backup child and adult care, wellness and assistance programs, and employee discounts.
Professional development, career advancement, recognition, and reward programs.
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