13 часов назад
Senior Analytics Engineer (Snowflake/dbt)
116 300 - 155 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Snowflake/dbt): Building end-to-end data products and reliable warehouse pipelines with an accent on source onboarding, incremental loading, data modeling, and governance. Focus on designing scalable orchestration, ensuring production reliability, and applying AI coding tools with rigorous testing and correctness.
Location: Needham, Massachusetts, or remote within the United States
Salary: $116,300–$155,000 USD annually
Company
is a global product design and technology company behind the Shark and Ninja consumer product brands.
What you will do
- Onboard vendor REST APIs, SFTP and S3 file drops, and on-premises file shares into the data platform.
- Build and lead reliable orchestration pipelines with schedules, backfills, partitioned incremental loads, concurrency controls, checks, and tests.
- Design idempotent warehouse loads, manage alerting and incident triage, and control warehouse sizing and query costs.
- Develop and maintain staging-to-mart dbt Cloud models on Snowflake, including reusable Jinja macros, documentation, and tests.
- Define engineering standards for pipeline structure, configuration, secrets, reviews, and production readiness.
- Use AI coding tools for SQL, dbt models, scaffolding, and documentation while reviewing and testing their output.
Requirements
- Expert SQL skills and deep familiarity with Snowflake.
- Strong experience with ETL/ELT, data modeling, and dbt Cloud.
- Hands-on experience with Dagster or Airflow, including partitioning and backfills.
- Experience integrating third-party APIs and file feeds, including authentication and secret management.
- Production ownership of pipeline reliability, alerting, incident triage, and root-cause follow-through.
- 3–5 years of experience in data engineering and analytics, plus a relevant bachelor’s degree or equivalent practical experience.
Nice to have
- Advanced degree or professional certification related to data engineering.
- Experience defining team guardrails for AI coding assistants.
Culture & Benefits
- AI-assisted development environment with daily use of AI coding tools.
- Medical, dental, and vision insurance, plus HSA contributions and flexible spending accounts.
- 401(k) retirement plan with matching, employee stock purchase program, and life and disability insurance.
- Paid time off, company holidays, parental leave, and backup childcare and eldercare days.
- Learning programs, wellness programs, product discounts, pet insurance, and other employee benefits.
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