9 часов назад
Senior Data Engineer (Fintech)
180 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Snowflake/AWS): Design and operate scalable batch, streaming, and CDC data pipelines for a financial wellness platform with an accent on data reliability, quality, and cost-efficient cloud architecture. Focus on optimizing Snowflake workloads, investigating complex production incidents, and building maintainable ETL/ELT, observability, testing, and CI/CD practices.
Location: On-site in New York, NY; Philadelphia, PA; Pittsburgh, PA; or Toronto, ON. Employees are expected in the office five days a week.
Salary: $180K–$210K base salary, plus potential equity and bonus.
Company
is a mobile-first financial wellness platform using artificial intelligence to provide personalized financial insights, access to cash, and credit-building tools.
What you will do
- Design, develop, and operate reliable first-party and third-party data pipelines across batch, streaming, and change data capture patterns.
- Lead the technical design of ETL/ELT and orchestration workflows, balancing performance, scalability, maintainability, and cost.
- Build SQL and Python solutions for transformation, validation, automation, and complex data processing.
- Improve data quality, freshness monitoring, alerting, observability, and production support for critical pipelines.
- Optimize Snowflake workloads, storage, and pipeline architecture, and lead investigations of complex production data incidents.
- Partner with Analytics Engineering, Data Science, Product, and Engineering to define data contracts and deliver reliable data products.
Requirements
- 5+ years of experience designing, building, and operating production data systems, with a bachelor's degree in a relevant field or equivalent practical experience.
- Advanced SQL skills and strong proficiency in Python or a similar programming language.
- Strong experience with Snowflake and AWS, including performance, reliability, and cost considerations.
- Deep experience with ETL/ELT, orchestration, schema design, and data modeling using dbt, Airflow, or similar tools.
- Understanding of batch and real-time architectures, including streaming and CDC technologies and their operational tradeoffs.
- Experience with data quality controls, testing, monitoring, observability, Git-based development, CI/CD, and modern software engineering practices.
Culture & Benefits
- In-person collaboration is the standard, with flexibility for remote work or adjusted schedules when circumstances require it.
- Company-paid medical, dental, and vision coverage for employees and dependents from the first day.
- 401(k) plan with a 3.5% company match and immediate vesting.
- Flexible PTO, life and accidental insurance, HSA match, and pre-tax benefits.
- Fitness reimbursement or complimentary LifeTime Fitness or Equinox membership, plus lunch and dinner meal programs.
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