openqareer

Senior Data Engineer

Inizio Partners Corp · Удалённо · United States · 125 000 — 155 000 USD

# Senior Data Engineer **Inizio Partners Corp** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 💰 **Компенсация:** `$125,000 – $155,000` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Analytics-Engineer]` `[Data-Warehouse-Engineer]` `[Dbt-Developer]` `[Senior-Data-Engineering]` `[Senior-Lead-Data-Engineering]` `[Senior-Data-Engineer-Jobs]` `[Senior-Data-Engineer-Positions]` --- ### About the Role Job Title: Senior Data Engineer Location: Remote (US) Salary 125K-155K + 12% bonus Experience- 5-8 years No. of open roles 1 Responsibilities: - Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating - Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift - Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth - Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers - Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation - Ensure data quality, governance alignment, and operational readiness of data pipelines - Apply software engineering best practices such as version control, CI/CD, and code reviews - Optimize SQL queries for performance, scalability, and maintainability across large datasets - Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views - Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools - Support Agile development processes and collaborate with offshore teams Required Qualifications: - Bachelors or Masters (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent - 5+ years of experience in data engineering and analytics on modern data platforms - 3+ years extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros - Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models - Understand change data capture concepts - Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift) - Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD - Python proficiency or general knowledge of Jinja templating in Python and/or PySpark - Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer - A great teammate and self-starter, strong detail orientation is critical in this role. Originally posted on Himalayas

Наблюдалась 2026-10-12, впервые 2026-10-12, источник — Himalayas (JSON API).

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