Senior Data Engineer

About DutchieFounded in 2017, Dutchie is a comprehensive technology platform powering dispensary operations, while providing consumers with safe and easy access to cannabis. Dutchie aims to further support the positive societal change the cannabis industry brings to the world through wellness benefits, social justice, and empowering local communities through tax revenue. Powering thousands of dispensaries across 40+ markets throughout the United States and Canada, Dutchie is the leading technology company in the cannabis space and was named in Fast Company’s 10 Most Innovative Companies in North America and listed two years in a row on LinkedIn’s Top 50 Startups.Dutchie has raised over $600M in funding to date, backed by D1 Capital Partners, Tiger Global, Dragoneer, DFJ Growth, Thrive Capital, Howard Schultz, Snoop Dogg’s Casa Verde Capital, Gron Ventures, members of the founding team at DoorDash, Kevin Durant’s Thirty Five Ventures, and other notable angel investors.About The RoleWe are seeking a motivated and growing Senior Data Engineer to contribute to our data strategy, architecture, and infrastructure. This individual will serve as a solid team contributor, leveraging their developing expertise to implement effective data solutions. The ideal candidate will possess solid experience with modern data engineering tools and platforms, databases, and cloud technologies. We are looking for someone who excels in building reliable data systems and is eager to grow their skills while contributing to better customer experiences and smarter business decisions.What You'll Do...Technical Contribution:Implement scalable and reliable data pipelines following established best practices and frameworksLearn and apply data engineering patterns for performance, scalability, and maintainabilityCollaborate with senior team members, actively seeking mentorship and growth opportunitiesWork independently on discrete data projects from end to end with milestone check-insData Infrastructure Development:Build and maintain ETL/ELT pipelines using tools such as Fivetran and DagsterWork with data warehouses, with a focus on SnowflakeLearn Infrastructure-as-Code practices (e.g., Pulumi) for resource managementDeploy and manage data services in Kubernetes environmentsData Management and Modeling:Design and maintain data models across database technologies, including SQL Server, PostgreSQL, MongoDB, and AWS RDSDevelop data models to support business intelligence and analytics needsLearn database performance optimization and data governance practicesCloud Development:Implement cloud-native solutions in AWSLearn to optimize cost, performance, and scalability of cloud infrastructureMonitoring and Quality:Work with observability platforms (e.g., Datadog) to monitor data workflows and system healthParticipate in logging, alerting, and dashboard maintenanceLearning and Growth:Stay current with industry trends and learn new tools and methodologiesCollaborate with stakeholders to understand business requirements and translate them into technical solutionsSoft Skills:Strong problem-solving abilities and analytical thinkingGood communication skills, with growing ability to convey technical conceptsCollaborative mindset with willingness to learn from senior team membersWhat You Bring...3-5 years of hands-on experience in data engineering or a related fieldSolid experience with modern data tools and platforms, including Snowflake, Fivetran, and DagsterProficiency with database technologies: SQL Server, PostgreSQL, and MongoDBExperience with AWS cloud services, especially data-centric products like s3, RDS, and DMSExperience with Infrastructure-as-Code (e.g., Pulumi) and container orchestration tools like KubernetesExperience in data modeling, schema design, and basic database optimizationExperience with DBTFamiliarity with observability tools such as Datadog, Grafana, or PrometheusProficiency in programming languages such as Python for data engineering tasks, with some exposure to application development languages like C# or RubyIt's a Bonus if You...Experience with additional cloud platforms such as Azure or GCPBasic knowledge of distributed systems and big data technologiesFamiliarity with CI/CD pipelines and version control systemsYou’ll Get…We are targeting a starting salary of $125,000 - $200,000 based on the intended level for this role.In addition to cash compensation, our total rewards package includes:Full medical benefits including dental and vision plans to ensure you always have the best care.Equity packages in the form of stock options to all employees.Technology (hardware, software, reading materials, etc..) allowanceFlexible vacation and sick daysAt Dutchie, we’re committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Dutchie believes that diversity and inclusion among our teammates is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.