[Hiring] Senior Data Engineer @Mode Mobile

Role Description

We are looking for a Senior Data Engineer to help architect, build, and operate Mode Mobile’s data platform. You will lead the development of large-scale data systems that process billions of events daily, enabling both real-time and batch use cases across product, growth, analytics, AI, and data monetization. You’ll work closely with engineering, data science, analytics teams, and business leaders to ensure our data is reliable, secure, scalable, and actionable.

This is a hands-on role for someone who thrives in production environments, takes accountability seriously, and wants to shape how data works across a fast-growing, multi-product company.

What You’ll Do

• Build & Scale (Action-Driven, Thorough)
  • Architect and lead the development of large-scale data pipelines, streaming systems, and data lakes handling billions of daily events.
  • Design and implement robust solutions supporting both real-time and batch processing.
  • Make thoughtful architectural decisions around performance, cost, scalability, and long-term maintainability.
  • Ensure high data quality through strong ETL/ELT patterns, testing, monitoring, and observability.
• Own Production (Accountable)
  • Own data systems running in live production environments with a strong focus on uptime, reliability, and correctness.
  • Proactively identify risks, bottlenecks, and failure modes—and address them before they impact the business.
  • Partner with infrastructure and engineering teams to ensure data platforms are secure, compliant, and resilient.
• Collaborate & Enable (Caring)
  • Work closely with product engineers, analytics engineers, data scientists, growth, and business teams to understand data needs and deliver high-impact solutions.
  • Build tools, frameworks, and datasets that empower others to move faster and make better decisions.
  • Mentor and support other engineers, raising the bar for technical excellence and ownership across teams.
• Think Ahead (Curious)
  • Continuously explore new tools, patterns, and technologies that improve our data platform.
  • Evaluate build vs. buy decisions with a pragmatic mindset, balancing speed, scalability, and long-term value.
  • Help shape the technical roadmap for Mode Mobile’s data platform as we grow through both organic expansion and acquisitions.

Qualifications

• 5+ years of experience designing, operating, and owning live production data systems, ideally in high-scale or data-intensive environments.
• Expert-level SQL skills.
• Hands-on experience with technologies such as Spark, Kafka, and modern data processing frameworks.
• Experience with AWS services for running data infrastructure.
• Experience with infrastructure-as-code tools such as Terraform.
• Proficiency in at least one data engineering language: Python (preferred), Scala, or Java.
• Strong understanding of data modeling, ETL/ELT design patterns, and scalable data architectures.

Requirements

• Accountable: You take ownership of outcomes, not just tasks. When something breaks, you lean in and see it through.
• Action-Driven: You are biased toward execution, ship meaningful improvements, and don’t get stuck in analysis paralysis.
• Caring: You collaborate with empathy, communicate clearly, and care about the impact your work has on teammates and users.
• Curious: You ask thoughtful questions, seek to understand the “why,” and continuously look for better ways to build and scale.
• Thorough: You value quality, correctness, and long-term maintainability—especially when working with data that drives critical decisions.

Benefits

• We are a 100% remote-first, global company.
• A competitive compensation package.
• Generous perks & benefits to team members.
• Participation in the Company's equity plan (for full-time team members).
• Individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal and work milestones.
• Remote social activities, including virtual coffee buddies.
• Bonus.ly - We use Bonus.ly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO, generous Company Holidays, and Wellness Days (for full-time team members).