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Senior Data Engineer - Integrations [Remote in the US]

Senior Data Engineer

Rockerbox empowers marketing executives to confidently make data-driven decisions, helping companies like Tula, Figs, and Burton with the strategic decision-making that drives growth. Our platform centralizes marketing data and offers diversified measurement methodologies, providing the flexibility to address our customers' unique needs and questions.

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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Average salary estimate

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$175000K

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What You Should Know About Senior Data Engineer - Integrations [Remote in the US], Rockerbox

Rockerbox is on the lookout for a Senior Data Engineer to join our dynamic Integrations team—this position is fully remote within the US! At Rockerbox, we empower marketing executives to make informed decisions by centralizing their marketing data and offering tailored measurement methodologies. As a Senior Data Engineer, you’ll dive into the exciting world of data pipelines, where our team plays an essential role in validating, aggregating, and delivering marketing data from various third-party APIs to our clients. You will tackle technical challenges head-on, aiming to build scalable, resilient, and cost-effective data systems. Collaborating with cross-functional teams, you will inspire others within the engineering team through mentorship and share your insights to improve our processes. Your journey will involve scoping and owning projects, leading technical initiatives alongside Product Managers, and embracing a culture of continuous learning. Here at Rockerbox, we pride ourselves on promoting ownership among our engineers, where your innovative ideas have a chance to shine. Joining us means you’ll experience collaboration that truly impacts our clients and a remote-first culture that values every contribution. Plus, with competitive compensation and benefits like unlimited PTO and an annual training stipend, you can thrive both personally and professionally. We're excited to see what you’ll accomplish with us!

Frequently Asked Questions (FAQs) for Senior Data Engineer - Integrations [Remote in the US] Role at Rockerbox
What are the key responsibilities of a Senior Data Engineer at Rockerbox?

As a Senior Data Engineer at Rockerbox, you'll be at the forefront of managing and scaling our data pipelines. Your key responsibilities will include scoping and owning projects to build and maintain scalable data ingests, leading technical initiatives in collaboration with product teams, and mentoring fellow engineers. You’ll also be tasked with designing resilient solutions and continuously finding ways to enhance our engineering efforts.

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What qualifications are required for the Senior Data Engineer position at Rockerbox?

To excel as a Senior Data Engineer at Rockerbox, you should possess at least 7 years of experience in the field with strong AWS expertise, especially in Redshift. Proficiency in Python, experience with Kubernetes, and familiarity with modern orchestration tools like Airflow are essential. Additionally, a product-oriented mindset and excellent communication skills will help you greatly in this role.

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Can you describe the engineering culture at Rockerbox for Senior Data Engineers?

Rockerbox fosters an engineering culture that emphasizes collaboration, ownership, and continuous personal and professional improvement. As a Senior Data Engineer, you’ll contribute to impactful projects and enjoy working with a close-knit team of around 20 engineers. We prioritize productive work processes, meaningful feedback, and a blameless learning environment that allows every team member to thrive.

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What are the benefits and compensation for the Senior Data Engineer role at Rockerbox?

Rockerbox offers competitive compensation for the Senior Data Engineer role, with a base salary of $175,000 plus equity options. Benefits include unlimited PTO, health, vision, and dental insurance, parental leave, and a $1,000 annual training stipend. Additionally, our unique initiative, Rockerbox Unplugged, lets you recharge by taking the last week of the year off.

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Is the Senior Data Engineer position at Rockerbox remote?

Absolutely! The Senior Data Engineer position at Rockerbox is fully remote, and you can work from anywhere within the United States. Our remote-first culture supports flexibility and work-life balance, allowing you to thrive both personally and professionally.

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Common Interview Questions for Senior Data Engineer - Integrations [Remote in the US]
What experience do you have working with AWS as a Senior Data Engineer?

In answering this question, highlight specific projects where you utilized AWS services, particularly Redshift. Describe your role in those projects, emphasizing your familiarity with AWS architecture, data storage strategies, and how you leveraged AWS tools to optimize data performance and processes.

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Can you explain your process for designing a scalable data pipeline?

When addressing this question, outline your step-by-step approach, including initial planning, selecting appropriate data ingestion methods, ensuring data quality, and implementing monitoring solutions. Illustrate your explanation with examples from previous experiences, demonstrating how you tackled challenges and delivered effective solutions.

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How do you manage data validation when ingesting data from APIs?

Discuss your validation strategies, such as schema checks, data type verifications, and using error handling mechanisms. Provide examples of how you've implemented these strategies in past projects, ensuring data integrity and reliability for your team.

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What role does mentorship play in your work as a Senior Data Engineer?

Highlight your commitment to mentoring junior engineers and how you've provided guidance, knowledge sharing, and support in previous roles. Talk about the impact this has had on project success and team dynamics, showcasing your passion for fostering a collaborative learning environment.

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Describe your experience with Infrastructure as Code, particularly with Terraform.

Explain the projects you've worked on using Terraform for Infrastructure as Code. Discuss how you’ve automated deployments and the benefits you've observed in terms of consistency, reliability, and reduced manual error. Offer specific examples of challenges you faced and how you resolved them.

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How do you stay updated with new technologies and tools in data engineering?

Share your approach to continuous learning, whether through online courses, workshops, industry conferences, or community engagement. Illustrate how you've recently implemented new findings or tools into your projects to enhance efficiency or performance.

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Can you describe a challenging project you’ve led as a Senior Data Engineer?

Provide details of a significant project, focusing on the challenges you encountered, your solutions, and the outcomes. Emphasize your leadership skills and how you coordinated with cross-functional teams to meet project goals and timelines.

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How do you approach code reviews within your team?

Discuss your philosophy on code reviews—highlight the importance of constructive feedback, fostering team collaboration, and maintaining high coding standards. Provide examples of how you’ve utilized code reviews to improve code quality and knowledge sharing in your previous roles.

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What strategies do you employ for optimizing data storage and retrieval?

Explain your methods for data optimization, including data partitioning, indexing, and choosing the right storage solutions. Use real-world examples to illustrate the effectiveness of your strategies in enhancing performance and scalability.

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How do you balance technical excellence with meeting business needs?

Discuss your understanding of how technical decisions impact the business and explain how you prioritize features and optimizations based on business goals. Provide an example of a time you successfully aligned technical work with business outcomes, showing your ability to think strategically.

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Full-time, remote
DATE POSTED
December 17, 2024

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