Senior Software Engineer

Quick Facts

Senior Software Engineer / Senior Data Engineer focused on data infrastructure for analytics and business intelligence

Description

The role is responsible for designing, implementing, and maintaining robust data infrastructure that powers analytics and business intelligence initiatives. It requires building scalable data pipelines, managing cloud-based data warehousing solutions, and implementing data quality frameworks, while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain scalable ELT data pipelines to support time-series based analytics and reporting needs
• Architect and implement data models and solutions in Snowflake to ensure optimal performance and accessibility
• Build and manage AWS-based infrastructure
• Implement and maintain data orchestration workflows using industry-standard tools to automate data processing
• Establish data quality frameworks and automated testing procedures to ensure data integrity and reliability
• Deploy CI/CD pipelines for data infrastructure to enable efficient, reliable, and repeatable deployments
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions
• Establish data engineering best practices and standards
• Create comprehensive documentation for data processes, models, and infrastructure
• Implement data governance practices and ensure compliance with regulatory requirements
• Proactively identify and resolve data-related issues and bottlenecks

Tech Stack

• AWS
• Snowflake
• Airflow
• dbt-core
• Python
• SQL
• Node
• Gitlab Pipelines
• Git
• Terraform
• Datadog

Minimum Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field
• 5+ years of experience in data engineering with a focus on cloud-based data infrastructure
• Strong proficiency in the tech stack or similar technologies
• Experience implementing and managing data pipelines and ETL/ELT processes
• Knowledge of data modeling, database design, and optimization techniques
• Experience with CI/CD practices for data infrastructure
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to collaborate with cross-functional teams

Benefits

• Annual bonus opportunity
• Lucrative equity awards through long-term incentive program
• Comprehensive benefits suite

Other Notes

• Minimal out-of-area and overnight travel may be expected
• Employment is contingent upon successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position