Senior Data Engineer - Integrations [Remote in the US]

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  • Company Rockerbox
  • Employment Full-time
  • Location 🇺🇸 United States, New York
  • Submitted Posted 2 weeks ago - Updated 51 minutes ago

Senior Data Engineer

Rockerbox empowers marketers to confidently navigate the complexities of modern marketing measurement with a unified approach that combines Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and Testing. By centralizing data into a reliable foundation and aligning methodologies to provide actionable insights, we help businesses eliminate guesswork and focus on what drives real results. Our all-in-one approach has empowered brands like Unilever, Weight Watchers, Quill, and Away to accelerate business success, providing clarity in an increasingly complex measurement landscape.

Our Integrations team plays a critical role in our success. We manage and scale data pipelines that ingest marketing data from third-party APIs, ensuring it’s validated, aggregated, and delivered seamlessly to our customers. This team’s work is at the core of our platform’s value.

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.

What You’ll Do

  • 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.

What to Expect as an Engineer at Rockerbox

At Rockerbox, we’ve cultivated an engineering culture that emphasizes collaboration, ownership, and continuous improvement. Here’s what you can look forward to as part of our team:

  • Collaboration That Drives Impact
    Our engineers work on critical projects that make a tangible difference to our customers and company. With a small, focused team of ~20 engineers, everyone’s contributions matter, and domain expertise is shared freely. We dedicate two time blocks each week to virtual collaboration, bringing the entire Engineering and Product teams together in a virtual room to work in sync.

  • Intentional Work Processes
    We value your time and strive to keep meetings intentional and productive. While we have a daily standup, engineers are encouraged to block off time for deep, focused work. Quick, direct, and kind feedback is a cornerstone of how we operate, with a strong emphasis on delivering feedback to meet our core value of continually improving.

  • Blameless Learning and Improvement
    Our robust blameless retrospective process uncovers gaps and areas of improvement, ensuring we learn from challenges and get better as a team. Demo days give you a chance to showcase your work, and our active book club fosters curiosity and learning across the team, covering both technical and business-related topics.

  • Ownership and End-to-End Responsibility
    Engineers are encouraged to propose approaches, lead projects, and see them through to completion. This ownership ensures your ideas and expertise have a direct impact on our product and customers. Along the way, you'll be supported by your team members (both direct and cross functional) as you navigate the system and the business needs.

What Makes You a Great Fit

  • 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).

  • You're comfortable with Infrastructure as Code (e.g., Terraform).

  • 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.

Why Rockerbox Might Be Your Next Great Adventure

  • You thrive in a dynamic, team-focused environment where you can take ownership of projects end-to-end.

  • You’re eager to see the tangible impact of your work. With our fast, iterative release schedule, your contributions will materialize quickly.

  • You value collaboration and humor—we genuinely like working together, and our low-ego culture supports everyone to succeed.

  • You want to grow with a company where your ideas matter and your impact is real.

At Rockerbox, you’ll find a culture that respects your time, challenges you to grow, and supports you in delivering work that truly matters. We can’t wait to see what you’ll build with us!

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.

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