Senior Data Applications Engineer, Thrive Market

• We're looking for a solution-oriented builder with high learning aptitude—someone who can translate complex business requirements into elegant technical solutions, adapt quickly to new tools, and operate with significant autonomy while partnering effectively with stakeholders at all levels
• While experience with finance and accounting domains are preferred, we encourage you to review the full qualifications below and apply if you feel like a strong fit for the role
• 5+ years of strong Python proficiency for data processing and production application development
• Advanced SQL including complex queries, performance optimization, window functions, and CTEs
• Cloud data warehouse experience with Snowflake strongly preferred (BigQuery or Redshift acceptable)
• Meticulous attention to detail, particularly for financially-sensitive or compliance-critical work
• Hands-on experience with workflow orchestration tools (Airflow, Dagster, Prefect, or similar)
• Demonstrated ability to gather requirements and translate them into robust technical solutions
• Experience designing data quality validation frameworks and automated testing patterns
• Proven ability to independently debug and resolve complex issues across multiple systems
• Experience with Git workflows, code reviews, pull requests, and CI/CD pipelines
• Understanding of proper environment separation (dev/staging/prod) and deployment best practices
• Ability to operate in highly governed environments meeting compliance and audit standards
• Experience with cloud infrastructure (AWS strongly preferred) including S3 and compute services
• Strong ownership mentality and systematic problem-solving with ability to work autonomously
• Excellent communication abilities to bridge technical and business audiences at all levels
• High aptitude to rapidly learn new technologies, tools, and complex business processes

Desirable

• We're seeking a Senior Data Applications Engineer to join our Data Applications Platform team
• This role sits at the intersection of data engineering, software development, and business process automation—building Python-based data applications that solve critical business challenges across finance, merchandising, operations, and more
• You'll create data applications with embedded business logic, encoding complex business rules into production-grade software that meets enterprise compliance standards
• This isn't traditional "move data from A to B" pipeline work—you'll architect solutions that automate business processes, support accounting close, enable merchandising analytics, optimize inventory workflows, and power other mission-critical functions
• This is a senior, full-stack data engineering role for someone who loves building solutions with real business impact
• You'll partner with our Staff Engineer to design and implement cloud-native data applications using modern tools (Snowflake, Astronomer, dbt, Fivetran) and the platform foundations that enable rapid application development
• You'll collaborate cross-functionally to ensure seamless integrations, high data quality, and reliable operational reporting
• You'll drive technical decisions, establish best practices, and mentor teammates as the team grows
• Architect and develop Python-based data applications that automate business processes and encode complex business logic
• Translate complex business processes into scalable, maintainable technical solutions
• Design and implement orchestrated workflows for multi-system integrations using modern orchestration frameworks
• Write performant, production-grade SQL for data transformations, validations, and business logic
• Develop data quality checks and validation frameworks ensuring data integrity across operational systems
• Own end-to-end delivery from requirements gathering through production support
• Troubleshoot and resolve complex technical issues across cloud based systems and data pipelines
• Craft customized internal tools and interfaces for business users to streamline and automate processes
• Operate within proper engineering environments with separation between development, staging, and production
• Drive code review processes and establish high engineering standards across the team
• Create technical documentation including architecture diagrams and system integration patterns
• Implement robust error handling, monitoring, and automated testing frameworks
• Lead requirements gathering sessions with stakeholders across finance, merchandising, and operations
• Communicate technical concepts clearly to non-technical audiences
• Collaborate with Data Engineering teams to align on data models and optimal data structures
• Provide on-call support to ensure system reliability and rapid resolution of production issues
• Guide technical approach and provide mentorship to junior engineers as the team scales