Senior Data Engineer

Dutchie; United States; Remote; USD 125,000 - 200,000; Full time

Job summary

A leading technology platform is hiring a Senior Data Engineer to enhance their data strategy and infrastructure. The ideal candidate will implement data pipelines, manage ETL processes, and work with a variety of database technologies. A range of benefits, including a competitive salary of $125,000 - $200,000, medical benefits, and equity packages, are offered.

Benefits

Full medical benefits including dental and vision plans

Equity packages in the form of stock options

Technology allowance

Flexible vacation and sick days

Qualifications

• 3-5 years of hands-on experience in data engineering or a related field.
• Solid experience with modern data tools and platforms.
• Proficiency with database technologies: SQL Server, PostgreSQL, and MongoDB.
• Experience with AWS cloud services, especially data-centric products.
• Experience with Infrastructure-as-Code and container orchestration tools.

Responsibilities

• Implement scalable and reliable data pipelines following best practices.
• Build and maintain ETL/ELT pipelines using relevant tools.
• Design and maintain data models across various database technologies.
• Work with observability platforms to monitor data workflows.

Skills

Data engineering

Problem-solving

Analytical thinking

Good communication

Collaboration

Tools

Snowflake

Fivetran

Dagster

AWS

Kubernetes

Python

DBT

Job description

Founded 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.

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 Role

We 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.

What You'll Do...

• Implement scalable and reliable data pipelines following established best practices and frameworks
• Learn and apply data engineering patterns for performance, scalability, and maintainability
• Collaborate with senior team members, actively seeking mentorship and growth opportunities
• Work independently on discrete data projects from end to end with milestone check-ins

Data Infrastructure Development

• Build and maintain ETL/ELT pipelines using tools such as Fivetran and Dagster
• Work with data warehouses, with a focus on Snowflake
• Learn Infrastructure-as-Code practices (e.g., Pulumi) for resource management
• Deploy and manage data services in Kubernetes environments

Data Management and Modeling

• Design and maintain data models across database technologies, including SQL Server, PostgreSQL, MongoDB, and AWS RDS
• Develop data models to support business intelligence and analytics needs
• Learn database performance optimization and data governance practices
• Implement cloud-native solutions in AWS
• Learn to optimize cost, performance, and scalability of cloud infrastructure

Monitoring and Quality

• Work with observability platforms (e.g., Datadog) to monitor data workflows and system health
• Participate in logging, alerting, and dashboard maintenance

Learning and Growth

• Stay current with industry trends and learn new tools and methodologies
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions

Soft Skills

• Strong problem-solving abilities and analytical thinking
• Good communication skills, with growing ability to convey technical concepts
• Collaborative mindset with willingness to learn from senior team members

What You Bring...

• 3-5 years of hands-on experience in data engineering or a related field
• Solid experience with modern data tools and platforms, including Snowflake, Fivetran, and Dagster
• Proficiency with database technologies: SQL Server, PostgreSQL, and MongoDB
• Experience with AWS cloud services, especially data-centric products like s3, RDS, and DMS
• Experience with Infrastructure-as-Code (e.g., Pulumi) and container orchestration tools like Kubernetes
• Experience in data modeling, schema design, and basic database optimization
• Experience with DBT
• Familiarity with observability tools such as Datadog, Grafana, or Prometheus
• Proficiency in programming languages such as Python for data engineering tasks, with some exposure to application development languages like C# or Ruby

It's a Bonus if You...

• Experience with additional cloud platforms such as Azure or GCP
• Basic knowledge of distributed systems and big data technologies
• Familiarity with CI/CD pipelines and version control systems

You’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..) allowance
• Flexible vacation and sick days

At 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.