Senior Data Engineer

Who you are

• 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
• 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

What the job involves

• 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 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
• 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
• 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