Senior Analytics Engineer, Data Platform at Deel (Remote)

Deel is a global payroll solution that helps businesses hire anyone, anywhere. Using a tech-enabled self serve process, you can now hire independent contractors or full-time employees in over 150 countries, compliantly and in minutes. Today, Deel serves 4,500+ customers from SMBs to publicly traded companies.

We are recruiting to fill the position below:

Job Title: Senior Analytics Engineer, Data Platform

Location: Remote
Employment Type: Full-time

Responsibilities

• Design and implement RBAC on Snowflake to meet all business and compliance requirements.
• Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations.
• Design and implement scalable and efficient data models for our Core data mart.
• Develop and optimize SQL queries for analytical and reporting purposes.
• Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s).
• Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data.
• Build a world-class development environment and CI/CD system that will allow our systems to scale for years to come
• Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data platform needs. 
• Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards

Requirements

• Proficient in RBAC principles and implementation details in modern data warehouse.
• Proficiency in a data engineering tech stack:
• 5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets
• Deep DBT core experience required (experience building on top of dbt core libraries would be awesome)
• Experience with Snowflake desired (or other cloud database platform)
• Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc
• You are proficient in Python and/or another data centric language
• You have experience building highly observable data systems
• You are familiar with dimensional data modeling techniques and best practices
• You have an eye for detail, good data intuition, and a passion for data quality
• You appreciate the importance of great documentation and data debugging skills
• You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks

Total Rewards:

• Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. 

Some things you’ll enjoy:

• Provided computer equipment tailored to your role
• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including WeWork access where available

Application Closing Date
Not Specified.