Full Time, Remote, Great Benefits, Highly Rated Culture
This Jobot Job is hosted by: Nicole Rose Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $140,000 - $220,000 per year
A bit about us:
My client has developed cannabis technology in the consumer cannabis space, specializing in cannabis delivery, retail, and manufacturing. The company operates in multiple states, including California, Florida, Colorado, and Michigan. They are passionate about creating safe, reliable and accessible cannabis experiences for our customers. They strive to innovate and develop new technologies that simplify the cannabis buying process. As a rapidly growing company, they value teamwork, creativity and diversity. Dedicated to providing a supportive and inclusive work environment where all employees can thrive and grow their careers. If you are looking to join a dynamic and forward-thinking team in the cannabis industry, this may be the perfect fit for you!
Why join us?
In joining this team, you'll be welcomed into a small but dedicated engineering organization. They are a highly collaborative team built on trust and patience. They learn from each other and provide support when things inevitably don't go as planned. Every engineer is encouraged to own their work and drive projects regardless of tenure or title.
They are committed to focusing on Social Equality, supporting all members of their community and are committed to growing a diverse and welcoming team in a safe space to be yourself/learn from your colleagues. Minorities, women, and LGBTQIA+ people are encouraged to apply!
Job Type: Full-time
Pay: $140,000.00 - $220,000.00 per year
Benefits: 401(k) Dental insurance Health insurance Paid time off Vision insurance
Work Location: Remote
Job Details
We are looking for a Staff Data Engineer to join our Data team. As a Staff Data Engineer, you will define the vision for data architecture and quality across the company. You will collaborate with data science, engineering, and various business stakeholders to design, build, and scale our data infrastructure that enables analytics, modeling, and experimentation. The work you do will directly impact how we identify opportunities, measure success and drive decision-making.
What you'll do:
Build the infrastructure required for ETL/ELT from a variety of data sources using modern technologies and best practices Design data pipelines and data models to support analytics, modeling, experimentation, and product/business needs Analyze, debug, and maintain critical data pipelines Define and manage SLAs and data quality for datasets and processes Partner with product managers, data scientists, and engineers to solve problems that require data What we need
You have 8+ years of software engineering experience 5+ years of experience of data engineering or engineering with a strong data emphasis 5+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources 5+ technical experience in: Python SQL AWS (particularly Redshift) Airflow DBT ETL Tooling (e.g. Fivetran) Experience implementing and monitoring audits for data quality Experience proactively identifying opportunities to improve ETL/ELT & dashboard performance Experience leveraging your excellent communication skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
