The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.
At Morning Brew Inc., we mix what you need to know with our unique brand of wit to attract, and build real relationships with, the next generation of business leaders. We speak to them like people, ensuring they get the context and insight needed to make decisions every day. Loyalty and trust are our most valuable currencies.
Whether scrolling, reading, watching, or listening, our audience trusts us for credible, entertaining business content that makes an impact on their personal and professional lives.
The Morning Brew team is clever, creative, and growing fast. Want in? Read on.
OVERVIEW
Join the best engineering team in media. Morning Brew Inc. is looking for a mid- to senior level Data & Analytics Engineer to join our small, tight knit Product Engineering team. We build incredible products using modern technology to innovate in the media space. We develop and ship quickly, we test and learn and iterate. We have a high level of ownership. We are subject matter experts who understand the business context and architecture of the entire stack.
WHAT YOU'LL DO
- Modeling and serving data that powers our business at every level.
- Improving the data architecture and adapting to new and changing business requirements.
- Working with leadership, product engineering, product management, analytics and insights teams to develop and sustain our first party data strategy.
- Working with the rest of the Product team to ensure the data stack can stay in lock step with the product software stack.
- Working to not only model and serve data but to tell stories with it.
WHAT YOU'LL BRING
- 5+ years of experience in data modeling, querying and developing for cloud data warehouse, and pipeline development.
- Strong proficiency in SQL, with a track record of writing and optimizing complex queries for large datasets.
- Experience with DBT (or similar data transformation tools).
- Experience in Python or a similar scripting language for building data applications.
PREFERRED SKILLS & EXPERIENCE
- Experience mentoring junior or mid-level engineers.
- Knowledge of data governance, semantic layers, and data and engineering best practices.
- Experience in the digital media and entertainment industry is a plus.
- Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift.
OUR DATA STACK
- Snowflake
- DBT
- Fivetran
- Airflow
- Kafka
- Hightouch
- Lightdash
- Python
COMPENSATION $150k-$170k DOE **Final offers for this job will be made within the parameters of the salary range provided, commensurate with experience. Total offer package to include benefits highlighted under our perks section below.
HOW WE TREAT EACH OTHER
Respectful Candor -- We believe that engaging in timely, constructive, and open discourse is an act of respect that makes for a more transparent and productive work environment.
Empathy -- We establish a strong partnership of trust with our co-workers and partners. We build human connections in order to understand each other.
Inclusivity -- Morning Brew Inc is deeply committed to fostering a transparently inclusive workplace environment, and people of color, women, people with disabilities, veterans, and LGBTQIA+ candidates are strongly encouraged to apply.
HOW WE TREAT OUR WORK
Curiosity -- We learn every day through deliberate inquiry and exploration. We re-examine assumptions to be a better company, offer better products, and become better colleagues.
Accountability -- We celebrate our successes and own our failures. Taking responsibility for our actions allows us to learn from our experiences.
Bias Toward Action -- We know speed matters in business so we embrace quick and calculated risk-taking. We understand that many actions are reversible and therefore we are solutions-oriented, even when facing obstacles and challenges.
Challenger Mentality -- We don’t allow ourselves to be comfortable with our success. We are hungry to become the best and create more value for our audience.
Clarity of Purpose -- We understand the “why” in our work, which helps us to operate at our highest level of performance and efficiency.
PERKS
While being surrounded by a bunch of cool people who look great in crewnecks is its own reward, we have plenty more to offer.
Brew’s HQ: Pick an adjustable standing desk or cozy corner and load up on free coffee (duh) and snacks at our new two-story office space in NYC’s Flatiron District.
401(k) employer match: We want to help you prepare for the future, now.
Premium health, vision, and dental plans: Your health matters!
Mental health benefits: Personalized plans and programs to promote your mental well-being.
Extra help when you need it: Including a care concierge, plus free access to One Medical and the Calm app.
Family planning: Want to join #brewparents? Generous paid parental leave and fertility coverage for eligible employees.
Employee Resource Groups: Black Coffee, LGBTQ Brew, AAPI Brew, Cafe Con Leche, and Grounded
Gym and workout class reimbursements: It pays to be healthy.
Annual learning credit: Want to learn something new? We'll reimburse you.
BRIEF BREW HISTORY
Morning Brew Inc. was founded in 2015 by two entrepreneurial college students who noticed their peers were not consuming legacy media resources about business and finance news, but had a high desire to learn about those topics. What started as a small on-campus email has since evolved into a multi-channel media company that operates 20+ unique content franchises. All while maintaining our witty, honest and engaging tone that millions of loyal MBI audience members rely upon daily to better navigate the world.
In 2020 a majority stake in MBI was acquired by Axel Springer SE and in February 2025 that position was increased to full ownership of the business. Axel Springer SE is a family-owned, transatlantic media company headquartered in Berlin and New York that is committed to the values of a free and informed society. To learn more about Axel Springer SE and what defines us, visit http://axelspringer.com/en/what-defines-us.
Top Skills
Airflow
Dbt
Fivetran
Hightouch
Kafka
Lightdash
Python
Snowflake
SQL
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