Senior Analytics Engineer, Snowflake

Factor Funding Company

. Design, develop, and maintain data pipelines, data models, and ETL processes for data integration, transformation, and aggregation.

Posted 10/31/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, ETL processes, and data models while ensuring data quality and performance optimization. Proficient in collaborating with stakeholders to deliver scalable analytics solutions and utilizing data visualization tools effectively.

Highest-signal resume keywords

Data Pipeline DevelopmentETL DesignPython ProgrammingAzure Data FactoryData Visualization with PowerBI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLT-SQLData ValidationData CleansingData TransformationCI/CD Best PracticesVersion ControlAdvanced SQL TransformationsData Documentation

Soft Skills

Excellent Communication Skills

Tools & Technologies

Azure Synapse AnalyticsSnowflakeDbt

Industry Keywords

Data AnalyticsAnalytics Engineering

Tech Stack

Tools & technologies

AzureETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, develop, and maintain data pipelines, data models, and ETL processes for data integration, transformation, and aggregation.
Collaborate with stakeholders to understand data requirements and translate them into scalable analytics solutions.
Implement data validation, cleansing, and monitoring techniques to ensure data quality, accuracy, and consistency.
Optimize data pipelines and analytics processes for improved efficiency and performance.
Build and test code using CI/CD best practices.
Perform advanced data transformations and create data models, often using tools such as dbt.
Write and maintain data catalogs and definitions.
Collaborate with data scientists and analysts on data-driven models, algorithms, and visualizations.

Requirements

What you’ll need

+5 years of experience working in data analytics or analytics engineering-related fields.
Experience with the design of ETLs.
Strong proficiency in programming languages such as Python, SQL, and T-SQL.
Strong experience with Azure Data Factory, Synapse Analytics, or Snowflake.
Experience with data visualization tools such as PowerBI.
Previous experience performing advanced, modular SQL-based transformations.
Experience applying software engineering best practices to analytics code, including version control, testing, and continuous integration.
Strong experience building excellent data documentation in company-wide data discovery tools.
Excellent verbal and written communication skills in English.

Benefits

Comp & perks

Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.