3 дня назад
Sr. Data Engineer
145 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Data Engineer (Python/Snowflake/dbt): Building and scaling secure, automated ETL/ELT pipelines, cloud data warehouse integrations, and reporting infrastructure with an accent on reliability, compliance, data quality, and cost efficiency. Focus on orchestrating batch and real-time workflows, strengthening observability and governance, and optimizing data platforms for analytics and business intelligence.
Location: Remote
Salary: $145,000–$165,000 base salary per year
Company
is a global fertility and family care platform providing clinical programs, analytics, and care support to members worldwide.
What you will do
- Architect, build, test, deploy, and maintain scalable ETL/ELT pipelines using Python, dbt, Prefect, and Airflow.
- Administer and optimize Snowflake, AWS S3, Redshift, and Google Cloud data warehouse and lake platforms.
- Design secure external data flows through SFTP, Files.com, and APIs, including monitoring, alerting, dependency management, and incident resolution.
- Automate reporting and operational workflows with reusable pipeline components that improve reliability and reduce technical debt.
- Partner with backend engineers and cross-functional stakeholders across Business Intelligence, Product, Finance, Legal, and Commercial.
- Improve data quality, lineage, governance, documentation, version control, and engineering practices while mentoring teammates.
Requirements
- Expert-level proficiency in Snowflake, dbt, and Python for data modeling, transformation, pipeline development, and analytics.
- Advanced SQL skills for complex queries, large-scale data models, and database optimization.
- Proven experience building and operating scalable automated ETL/ELT pipelines with modern orchestration tools.
- Hands-on experience with cloud data platforms, including Snowflake, AWS, and Google Cloud.
- Strong understanding of secure data exchange through SFTP, Files.com, and APIs, with attention to reliability and compliance.
- Mastery of Git, GitHub, Jira, code review, structured workflows, and operational transparency.
Nice to have
- Experience in startup or rapid-growth environments and regulated industries such as healthcare, healthtech, or SaaS.
- Background supporting business intelligence, analytics, and data science teams through large-scale integrations and multi-tenant reporting.
- Experience with batch and event-driven ingestion, near-real-time pipelines, and compliance frameworks such as SOC 2, HIPAA, GDPR, ISO, or SOX.
Culture & Benefits
- Mission-driven work focused on expanding access to fertility and family-forming care.
- Flexible time off, parental leave, and family-forming benefits.
- Health and wellness benefits, retirement savings plans, short- and long-term incentives, equity, and competitive compensation.
- Collaborative, inclusive, values-driven culture with a high-growth environment.
Hiring process
- Recruiter screen followed by a hiring manager interview.
- Cross-functional panel interviews and an executive leadership conversation.
- Final hiring manager wrap-up.
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