Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$130к-150к/год
$110к$150кмедиана$170к
По похожим ролям (48) ~ $150к/год
На СНГ рынке: $2.6к/мес ($1.3к - $3.4к)
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У роли понятные обязанности, современный стек и подробно описанные льготы, но базовая зарплата ниже медианы рынка для похожих позиций.
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Ниже медианыСовременный стекПонятные задачиХороший соцпакетФинтех-сфера
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Fintech): Building scalable data pipelines and data platform infrastructure with an accent on dbt, Python, Airflow, Snowflake, data quality, and observability. Focus on designing pipeline architecture, optimizing production data systems, leading analytical work, and supporting executive reporting for trading and investing products.
Location: Chicago, Illinois, hybrid with 3 days per week in the office.
Base salary: $130,000–$150,000 per year, plus a discretionary performance bonus of 8–12% of base salary.
Company
IG North America is home to hirify.global, tasty live, and tastyfx, a fintech family of brands focused on trading, investing, financial education, and technology for individual investors.
What you will do
Design and build scalable data pipelines with dbt, Python, Airflow, and Snowflake for business processes including executive reporting dashboards.
Own pipeline architecture, performance, schema design, tool selection, and strategic improvements to the data platform.
Build data quality and observability infrastructure, process and validate internal and external data, and troubleshoot production data issues.
Write ELT code using Git, automated testing, and automated deployments.
Lead ad-hoc analysis of customer interactions and collaborate with Software Engineering, DevOps, Marketing, Product, and Leadership.
Contribute to Tableau reporting, code reviews, design collaboration, knowledge sharing, and improvements to team practices.
Requirements
2–5 years of professional data engineering experience.
Expert SQL skills and experience optimizing queries.
Production experience with dbt and Python.
Hands-on experience with Airflow, Prefect, or Dagster.
Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
Understanding of the data product lifecycle, standards, and practices, including data cleansing, standardization, parsing, and validation.
Ability to design systems, lead projects, and communicate clearly with engineers and non-engineers.
Proficiency with Git or GitHub and command-line interfaces.
Nice to have
Kubernetes or infrastructure-as-code experience.
CI/CD and DevOps practices.
Data quality frameworks such as Elementary, Great Expectations, or Monte Carlo.
Financial services background.
Advanced Airflow patterns and custom operators.
Experience with agile development practices and the project lifecycle.
Culture & Benefits
Collaborative, lean environment emphasizing autonomy, pragmatism, experimentation, initiative, and impact.
20 paid vacation days, an additional paid vacation day during the birthday month, and 10 paid sick days.
Gym membership reimbursement, in-building gym, commuter benefits, shuttle to and from Metra, and daily catered lunch when in the office.
Pet insurance, wellness and mental health programs, charitable donation matching, and two paid volunteer days off.
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