Responsibilities
- Design and implement scalable, secure, and high-performance data solutions across a multi-cloud organization that includes AWS and Azure
- Define and enforce data engineering standards, best practices, and architectural patterns
- Collaborate with a highly motivated team to evaluate and integrate emerging technologies that enhance the data platform’s capabilities
- Drive platform evolution by identifying opportunities for AI-powered automation and implementing solutions that enhance data workflows
- ELT pipelines using AWS Infrastructure, Azure Infrastructure, Apache Airflow, Snowflake, and dbt
- Oversee the design, development, and optimization of a unified data platform across cloud environments
- Manage the development and maintenance of data models and schema designs to support efficient data storage and retrieval
- Manage schema evolution processes from product data sources to Snowflake
- Optimize data processing workflows for performance, scalability, and reliability
- Act as a subject matter expert for internal stakeholders and clients, addressing technical inquiries and providing strategic guidance
- Implement and maintain robust data governance, security, and compliance frameworks
- Ensure data quality, security, and integrity through effective validation, cleansing, testing, and monitoring technique
Requirements
- 4+ years of experience in data engineering
- Proven expertise in AWS, Azure, Snowflake, dbt, and Python
- Strong background in data warehouse architecture, data modeling, and performance tuning
- Proficiency in SQL, dbt, and Python for data transformation and orchestration
- Experience with cloud-native architecture, DevOps practices, and CI/CD pipelines in Azure, AWS, and GitHub
- Excellent communication and collaboration skills with the ability to influence technical direction and strategy
Benefits
- Competitive compensation
- Remote-first Work from anywhere in US
- One-time home office stipend to set up your workspace
- Monthly Wi-Fi reimbursement
- Flexible work Flexible scheduling and core collaboration hours (10:00 AM – 3:00 PM ET)
- Company-wide offsite annual offsite to collaborate, build relationships, and have some fun together
- Time off that you’re expected to use Flexible PTO designed for real recharge
- 17 company holidays
- Paid sick leave
- Paid parental leave
- Comprehensive health coverage Choose from multiple medical plan options with significant company premium contributions
- Dental (including orthodontia) and vision coverage for you and your family
- Includes company contributions to HSA/FSA accounts (based on plan selection)
- Financial wellness 401(k) with company match to help you plan for the future
Additional Information
- Fully remote role within the United States
- Periodic travel (approximately 5%) for team meetings, customer visits, and industry events
- Operates in a fast-paced, growth-oriented, PE-backed SaaS environment
- Requires cross-functional collaboration across Data Engineering teams
- Ability to manage multiple concurrent and shifting priorities
- Success in this role requires the ability to balance synchronous collaboration with thoughtful asynchronous execution in a remote-first environment
- Pre-Employment Drug Screening: This position is subject to a pre-employment drug screening, where permitted by applicable law. Any required screening will be conducted after a conditional offer of employment and in accordance with applicable federal, state, and local laws
