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Senior Staff Data Engineer (AWS)
200 000 - 300 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Staff Data Engineer (AWS): Leading the design, development, and scaling of enterprise data platforms and end-to-end analytics solutions with an accent on data architecture, reliable pipelines, governance, and observability. Focus on owning mission-critical systems, delivering complex multi-team projects, evaluating data technologies, and mentoring senior engineers.
Location: Austin, Texas, United States of America; hybrid work with remote flexibility part of the week
Salary: $200,000–$300,000 annual base salary, with potential bonus, benefits, and related incentives.
Company
provides customer service software that powers conversations between brands and their customers.
What you will do
- Lead large-scale data engineering projects across multiple teams and manage complex, long-term delivery.
- Own mission-critical data systems from architecture and implementation through operations.
- Design and build end-to-end analytics solutions for customer 360, finance, product, sales, and other business domains.
- Research technical solutions, conduct proof-of-concepts, and evaluate vendors and data technologies.
- Establish engineering best practices, improve data delivery, and automate manual processes.
- Mentor staff and senior engineers while promoting technical excellence and continuous learning.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 10+ years of experience in data engineering, data architecture, or distributed systems, including at least 5 years in technical leadership roles.
- 7+ years building and maintaining scalable data platforms, plus 5+ years with cloud columnar databases such as Snowflake or Google BigQuery.
- 3+ years of production experience with dbt and modern ELT pipelines.
- Hands-on experience with AWS, Airflow, Snowflake, Fivetran, Docker, Kubernetes, Terraform, and GitHub Actions.
- Experience with data governance, security controls, access management, observability, alerting, incident management, and Python or another listed programming language.
Culture & Benefits
- Collaborative Agile environment with involvement across the software development lifecycle.
- Hybrid work model combining purposeful in-person collaboration with remote flexibility.
- Opportunity to work with geographically distributed teams and customers.
- Benefits and possible bonus or other incentives may be available.
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