Data & Analytics Engineer
150k - 170k USD
Remote
Full Time
#Product
#Data
#SQL
#DBT
#Python
#Snowflake
#BigQuery
#Redshift
#Fivetran
#Airflow
#Kafka
At Morning Brew Inc., we blend essential business insights with a unique, witty voice to build genuine relationships with the next generation of leaders. We believe in speaking to our audience like real people, providing the context they need to make informed decisions every single day. Whether our community is reading, listening, or watching, they rely on us for credible and entertaining content that makes a tangible impact on their lives. We are a fast-growing, creative team looking for talented individuals who want to help us shape the future of media.
The role
We are seeking a Senior Data & Analytics Engineer to join our tight-knit Product Engineering team on a full-time, remote basis. This is a high-ownership role where you will act as a subject matter expert, helping us innovate within the media space. You will work across our entire stack, ensuring that our data architecture remains robust, scalable, and perfectly aligned with our product software.
Core responsibilities
- Model and serve high-quality data that powers our business operations at every level.
- Evolve our data architecture to meet changing business requirements while ensuring our data stack stays in lockstep with our product software.
- Collaborate closely with leadership, product management, and analytics teams to define and execute our first-party data strategy while telling compelling stories through our data.
Skills and experience
To be successful in this role, you should possess the following qualifications:
- At least 5 years of experience in data modeling, pipeline development, and working with cloud data warehouses.
- Strong proficiency in SQL, with a proven ability to write and optimize complex queries for large datasets.
- Hands-on experience with DBT for data transformation.
- Proficiency in Python or a similar scripting language for building data applications.
- Familiarity with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.
- Experience with tools like Fivetran, Airflow, and Kafka is highly valued.
Compensation and benefits
The salary range for this position is $150,000 to $170,000, depending on your experience. In addition to competitive pay, we offer a comprehensive benefits package, including:
- Premium medical, dental, and vision insurance plans.
- 401(k) with employer match.
- Mental wellness budget and dedicated programs to support your well-being.
- Generous paid time off.
- Professional development opportunities through annual learning credits.
- Support for a remote work lifestyle and various wellness programs.
How to apply
If you are a curious, action-oriented engineer who is passionate about building impactful products, we would love to hear from you. We are deeply committed to fostering an inclusive workplace and strongly encourage candidates from all backgrounds to apply. Please submit your application to join our team and help us continue to provide the insights our audience relies on.
