обновлено 12 часов назад
Senior Data Engineer, Finance (AWS)
161 500 - 283 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer, Finance (AWS): Building and evolving financial data platforms by migrating production data pipelines from Snowflake to AWS with an accent on dimensional modeling, SOX-compliant reporting, and data quality. Focus on optimizing large-scale SQL workflows, implementing Medallion Architecture layers, and leading architecture decisions across Finance and Customer Success data ecosystems.
Location: Remote for candidates residing in the United States within the EST or CST time zones
Base compensation: $161,500–$283,900 per year
Company
provides an AI-powered experience orchestration platform that connects people, systems, data, and AI for enterprise customer and employee experiences.
What you will do
- Own the end-to-end migration of data pipelines from Snowflake to AWS.
- Design dimensional data models for accurate, SOX-compliant financial reporting and analytics.
- Build and evolve Medallion Architecture layers, including high-quality Silver and Gold datasets.
- Optimize SQL transformations and data processing workflows for performance, scalability, and cost efficiency.
- Establish standards for testing, deployment, documentation, data quality, observability, and monitoring.
- Lead architecture decisions and translate Finance and Customer Success requirements into production-ready data solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- 6+ years of experience building production-grade data platforms or modern data warehouse solutions.
- Expert-level SQL skills, including complex query design, performance tuning, and large-scale data modeling.
- Strong Python experience for data pipelines and automation, with experience in Snowflake and AWS services such as Glue, S3, and CloudWatch.
- Experience with CI/CD pipelines, Git-based workflows, automated testing, data governance, observability, and monitoring.
- Applicants must already be legally authorized to work in the United States without current or future employer sponsorship.
Nice to have
- Experience leading or managing cross-functional projects.
- Experience designing financial data models in regulated environments.
- Experience with data lineage, cataloging tools, and enterprise data governance frameworks.
- Track record of leading cross-functional data initiatives with measurable business impact.
Culture & Benefits
- Flexible work schedules and work-from-home opportunities.
- Medical, dental, vision, and telehealth coverage.
- Open Time Off, 10 paid holidays, and a 401(k) matching program.
- Mentorship, learning programs, leadership development, and education support.
- Adoption assistance, fertility treatments, paid volunteer time, and well-being resources.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Most processes include no more than five interviews before final steps.
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