Senior Data Engineer, Rockerbox
Integrations
$175k
+ Equity Options
Direct-to-consumer marketing measurement
Be an early applicant
Direct-to-consumer marketing measurement
21-100 employees
Be an early applicant
$175k
+ Equity Options
21-100 employees
Company mission
To build technology that enables companies to grow faster and more easily.
Role
Who you are
- You have 7+ years of experience as a Data Engineer and deep expertise in AWS services (Redshift preferred)
- You’re proficient with Python and have experience working with Kubernetes (K8s)
- You’re comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)
- Infrastructure as Code (e.g., Terraform) is second nature to you
- You have experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture
- You have a product mindset, balancing technical excellence with business needs to deliver scalable solutions
- You communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan
What the job involves
- As a Senior Data Engineer, you’ll tackle technical challenges to build scalable, resilient, and cost-efficient data systems.
- You’ll collaborate across teams to design solutions that meet our customers' emerging needs, mentor other engineers, and continuously seek ways to enhance our engineering processes
- Scope and own projects to build, improve, and maintain scalable data ingests and pipelines
- Design and implement solutions that are resilient, well-monitored, and cost-effective
- Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications
- Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning
- Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes
Our take
Rockerbox’s marketing attribution platform offers direct-to-consumer (DTC) brands a single access point for analyzing all marketing channels, whether online or offline.
Bringing companies better insight into the efficacy of their marketing is a potential game-changer, given that the DTC industry marketing wastage rate is estimated at at least 50%. Considering that in North America alone, around $300 Billion is spent on marketing and advertising every year, any aid to reduce wastage is extremely valuable.
Rockerbox has been growing at a promising rate since the 2013 inception, winning The New York Times Ad Tech Startup of the Year back in 2018, and gaining some high-level customers in the form of The Wall Street Journal.
Having undertaken a strategic measurement integration with Pinterest in 2022, the company appears intent on continuing its steady scale-up by adding to its remote workforce across the USA and developing more features for its platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Mar 2016
$0.5m
SEED
Mar 2014
$0.5m
SEED
Total funding: $1.1m
Company benefits
- Unlimited Time Off: Need a break? You decide when and for how long. Enjoy!
- Office Setup Stipend: Pick the right tools for your space.
- Healthcare Covered: Health, dental and vision. Don't sign in if you're sick!
- Personal Library: Is there a book that will level you up? Rockerbox will buy it for you. As many books as you can read!
- Remote-first: Live and work where you want in the US.
- Wellness and Training: Unrestricted Be Well to You wellness bonus and training stipends - you choose what you need.
Company values
- Do more with less
- Continually improve
- Be biased towards action
- Solve problems
- Speak your mind
Company HQ
Midtown Manhattan, New York, NY
Articles
Leadership
Ron Jacobson
(CEO)Prior to co-founding Rockerbox, was a Software Engineer at the Federal Reserve Bank of New York, then Product Manager at AppNexus (acquired by Xandr in 2018).
Rick O'Toole
(CTO)Led integrations at AppNexus for companies such as Facebook and Yahoo. Was a founding Data Science Engineer in AppNexus’ Marketplace-Analytics group.
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