17 часов назад
Senior Data Engineer (Snowflake)
155 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Snowflake): Building and evolving scalable data pipelines, dimensional models, and cloud-native infrastructure for reporting, analytics, and machine learning workloads with an accent on Snowflake, ELT automation, AWS, and data observability. Focus on optimizing performance and cost, implementing open table formats, strengthening CI/CD and monitoring, and mentoring engineers across the data team.
Location: Remote in the United States; hiring is available from anywhere in the U.S. except D.C. and Hawaii. Colorado-based employees may work remotely statewide, from the downtown Denver office, or in a hybrid arrangement.
Annual base salary: $155,000–$165,000, depending on experience and qualifications, plus eligibility for a variable annual bonus.
Company
operates a vacation-rental platform focused on making vacation rental easier for owners and guests.
What you will do
- Shape scalable, modular, and performant data systems as a senior technical contributor.
- Design and deliver reliable data pipelines for analytics, reporting, and data science use cases.
- Develop and optimize ELT workflows using Airbyte, Fivetran, dbt, and Python.
- Build and maintain Snowflake data models, including star schemas and dimensional models optimized for AI tools and text-to-SQL interfaces.
- Improve data observability through alerting, monitoring, and incident response, while exploring open table formats such as Apache Iceberg.
- Collaborate with DevOps and Cloud teams on AWS infrastructure, engineering standards, CI/CD, automated testing, and mentoring.
Requirements
- 8+ years of experience in data engineering, architecture, or related technical roles involving large-scale data systems.
- Deep experience with SQL and Python for data transformation and automation.
- Hands-on experience with dbt, Airbyte, Fivetran, and Snowflake.
- Strong AWS knowledge, including services such as S3, Lambda, EC2, and IAM.
- Experience with Airflow, data observability and monitoring, Git-based workflows, CI/CD, and automated testing.
- Ability to communicate technical concepts clearly and mentor engineers and analytics professionals.
Nice to have
- Familiarity with Apache Iceberg or similar open data formats.
- Knowledge of scalable data lakehouse principles.
Culture & Benefits
- Collaborative culture built around curiosity, communication, accountability, and responsibility.
- Equity and a 401(k) with a 4% immediate vesting match.
- Paid parental leave, infertility coverage, medical, dental, vision, mental health, and pet insurance benefits.
- Generous PTO, sick leave, holidays, and a personal holiday.
- Annual travel credit after one year and discounts on properties.
- Onboarding, learning, development resources, and Employee Resource Groups.
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