Senior Analytics Engineer
Remote
Posted on 2/2/2024
Drata

501-1,000 employees

Security & compliance automation platform
Company Overview
Drata's mission is to restore trust across the internet. Drata helps thousands of companies streamline compliance for SOC 2, ISO 27001, HIPAA, GDPR, custom frameworks, and many more through continuous, automated control monitoring and evidence collection.
Cybersecurity
Data & Analytics
B2B

Company Stage

Series C

Total Funding

$456.2M

Founded

2020

Headquarters

San Diego, California

Growth & Insights
Headcount

6 month growth

8%

1 year growth

42%

2 year growth

250%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
Data Science
Data Structures & Algorithms
BigQuery
SQL
Java
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • 8+ years of advanced SQL development experience
  • 4+ years of hands-on experience with data warehousing technologies (Snowflake, BigQuery, Redshift)
  • Extensive experience building and optimizing large-scale ETL pipelines, data modeling
  • Bachelor's degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science)
  • Solid understanding of data security and compliance requirements
Responsibilities
  • Develop and maintain robust data models and schema designs
  • Design and implement complex data pipelines for efficient and scalable data processing
  • Collaborate with Data Engineers to optimize data infrastructure and enhance overall system performance
  • Utilize advanced programming skills (Python, Java, or equivalent) for data processing and analysis tasks
  • Implement and optimize algorithms for data transformation, cleansing, and enrichment
  • Drive the adoption of best practices in data governance, security, and management
  • Collaborate with Software Engineers to integrate data analytics solutions into production systems
  • Apply machine learning techniques to extract insights and patterns from large datasets
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions
  • Formulate the right metrics and definitions of success to drive quality, efficiency, cost, timeliness and understanding the source data
  • Develop and maintain documentation for data processes, pipelines, and models
  • Engage with LLM models, showcasing your capacity to work with cutting-edge AI technologies
  • Continuously stay up-to-date on industry trends and advancements in data engineering and analytics
Desired Qualifications
  • LLM models experience
  • Experience building web services
  • Effective communication skills, conveying complex technical concepts to non-technical stakeholders
  • Ability to thrive in a fast-paced, high-growth startup environment with a balance of autonomy and collaboration