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Rockerbox

Senior Engineer II - Application Team

Job Posted 20 Days Ago Posted 20 Days Ago
Remote
175K Annually
Senior level
Remote
175K Annually
Senior level
The Senior Engineer II will enhance and maintain the application team’s data analytics platform, ensuring robust data flow and optimal system performance.
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Senior Engineer II  - Application Team

Rockerbox empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.

The Application Team is responsible for delivering out of the box analyses within the Rockerbox platform in partnership with our data engineering teams. The team covers two main components: configuration and insights. This role is designed to play a pivotal role in delivering the platform’s insights capabilities, by owning projects that result in customer-facing dashboards and analytics interfaces. Specifically, this role will deliver work related to building and optimizing the semantic layer. Our ideal candidate has a full-stack engineering background with a focus on back-end concepts and technologies related to data engineering.

Responsibilities:

  • Collaborate closely with product managers and the App team to define and achieve product feature goals, ensuring seamless integration between backend services and user interfaces.

  • Design and implement robust solutions to support application functionality, optimizing data flow and system performance.

  • Take ownership of testing frameworks, emphasizing the reliability and accuracy of data as it moves from backend systems to end-users.

  • Contribute to the team’s understanding of technical and business aspects by enhancing the semantic layer and improving application data structures.

Qualifications:

  • 7+ years of combined experience in software engineering with a focus on back-end work.

  • Deep expertise in Python and SQL, with Python as a main language.

  • Demonstrated delivery of work associated with a data platform's semantic layer is preferred.

  • Full-stack experience delivering analysis or dashboarding products.

  • Practical knowledge of algorithms, models, and data structures relevant to marketing analytics.

  • Ability to communicate complex concepts clearly to non-technical stakeholders.

Why You’ll Love Rockerbox: At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.

Compensation and Benefits

  • $175,000 base salary; Equity options

  • Remote-first - work anywhere in the US

  • Health, vision, and dental insurance

  • Unlimited PTO

  • 10 Paid Holidays

  • Rockerbox Unplugged - we shut down the last week of the year

  • 12 weeks Parental Leave for all parents of a new child

  • Traditional and ROTH 401k options

  • $1000 annual training stipend

  • Rockertreat! Annual company get-together

Rockerbox is a remote-first, equal opportunity employer. We actively encourage applicants from underrepresented backgrounds, and we are accepting candidates based anywhere in the United States.

Please note that we are not able to accommodate C2C candidates for this role. Rockerbox participates in E-Verify. As an employer utilizing E-Verify, we confirm the eligibility of all newly hired employees through an electronic database maintained by the U.S. Department of Homeland Security and the Social Security Administration.

Top Skills

Python
SQL

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