Snowflake SR DATA ANALYTICS ENGINEER 

United States, Texas 

234535785

We’re looking for a

Data Transformation and Analysis:

• Design, develop, and maintain performant data pipelines for collecting, processing, and transforming data from various sources into a structured format

• Assemble large, complex data sets that meet functional / non-functional business requirements

• Provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Apply software engineering best practices to analytics code (e.g. version control, testing, continuous integration)

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

Performance Optimization:

• Identify and address performance bottlenecks in data processing, analytics, and reporting to ensure efficient and responsive user experiences

• Continuously refine and optimize data pipelines for speed, accuracy, and scalability

Data Governance and Security:

• Ensure data privacy and security by designing and implementing access controls in compliance with data protection regulations

• Collaborate with the security team to identify and mitigate potential risks related to data handling

Data Management:

• Maintain data documentation and definitions

• Interface with data stewards to ensure metadata is trustworthy and current

AI/ML Infrastructure

• Build and manage data architectures that facilitate machine learning model training, testing, and deployment

• Implement and optimize data storage solutions tailored for AI/ML applications

• Deploy machine learning models into production environments

• Bachelor or Master degree in Analytics, Computer Science, Mathematics, Management Information Systems or similar quantitative discipline

• 5+ years of experience with SQL, including exposure to Data Manipulation Language (DML) and Data Definition Language (DDL) statements. Advanced proficiency in writing Data Query Language (DQL) statements, with experience using common table expressions and window functions

• Ability to compare different options and their trade-offs

• Experience using dbt (data build tool), including designing and implementing dbt macros

• Experience with one or more common data analysis languages (Python, R, Spark) and associated libraries/toolkits such as NumPy, pandas, tidyverse

• Experience building ELT processes using tools like Airflow, SQL Tasks & Stored Procedures

• Experience with containerization, including Docker, Kubernetes

• Proficiency with Git, bash, and command line

• Passion for designing efficient, modular, and maintainable systems

• Ability to see how the little details impact the big picture

• Experience collaborating with the business to translate goals into technical specifications

• Experience and interest in problem formulation based on relatively abstract information and evaluating all possible solutions

• Experience analyzing internal / external data and processes to answer specific business questions and identify opportunities for improvement

• Comfort working with semi-structured datasets

• Proven passion for building and learning: open source contributions, pet projects, self-education, Stack Overflow

• Proficiency in Machine Learning (ML) and Natural language (NLP) libraries

• Experience designing and implementing topic modeling solutions using algorithms such as Latent Dirichlet Allocation (LDA), BERTopic, or similar

• Knowledge of advanced NLP techniques and their applications, such as sentiment analysis and text classification to complement topic modeling efforts

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $112,000 - $165,100.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.