Sr. Data Engineer (Remote)

modemobile; United States; Remote; USD 160,000 - 260,000; Full time

Benefits offered by this job

Company equity

Performance bonus

Open PTO

Company holidays

Wellness days

Meeting-free day each week

Job summary

modemobile is seeking an experienced Data Platform Architect to design and operate scalable data pipelines, both real-time and batch, across product, analytics, AI, and data services.

You will own production reliability and data quality, work with infra and cross-functional teams, and help shape the platform roadmap in a remote-first, global organization.

Qualifications

• Five+ years designing, operating, and owning production data systems.
• Expert SQL skills with hands-on Spark, Kafka, or similar frameworks.
• Experience running data infrastructure on AWS.
• Experience with infrastructure-as-code tools like Terraform.
• Proficiency in Python, Scala or Java; Python preferred.

Responsibilities

• Design and lead development of data pipelines, streaming systems, and data lakes for high-volume workloads.
• Build solutions for real-time and batch processing with attention to performance and cost.
• Improve data quality through ETL/ELT practices, testing, monitoring, and observability.
• Own production systems, identify bottlenecks, and maintain uptime and correctness.
• Collaborate with infra, analytics, data science, product, growth, and business teams; mentor engineers and shape platform roadmap.

Skills

SQL

Spark

Kafka

Python

Java/Scala

Tools

Terraform

AWS

Job description

Role overview

Architect, build, and operate a data platform that supports real-time and batch use across product, growth, analytics, AI, and data services. The platform processes billions of events each day, so this hands-on role combines large-scale engineering with responsibility for production reliability, data quality, security, and long-term technical direction.

Responsibilities

• Design and lead development of data pipelines, streaming systems, and data lakes for high-volume workloads.
• Build solutions for both real-time and batch processing, making considered choices around performance, cost, scale, and maintainability.
• Improve data quality through sound ETL/ELT practices, testing, monitoring, and observability.
• Own production systems, identify likely bottlenecks and failure modes, and maintain uptime and correctness.
• Partner with infrastructure and engineering teams on secure, resilient data services, and work with analytics, data science, product, growth, and business teams to meet their needs.
• Create reusable tools, frameworks, and datasets, mentor engineers, and help shape the platform roadmap, including build-versus-buy decisions.

Requirements

• At least five years designing, operating, and owning production data systems, ideally in high-scale or data-intensive settings.
• Expert SQL skills and hands-on experience with Spark, Kafka, or comparable modern data processing frameworks.
• Experience running data infrastructure on AWS.
• Experience with infrastructure-as-code tools such as Terraform.
• Proficiency in a data engineering language such as Python, Scala, or Java; Python is preferred.
• Ability to take ownership of complex systems and work across teams on reliability, quality, and technical direction.

Benefits and work setup

The role is remote-first in a global organization. Listed offerings include company equity for full-time employees, individual bonuses, open paid time off, company holidays, wellness days, and a meeting-free workday each week.