Senior Data Engineer (Pipelines & Architecture)

Massive; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Massive is seeking a senior data engineer to own data pipelines, architecture, and data governance across the organization. The role is remote and full-time, offering opportunities to influence ingestion, transformation, and consumption of data at scale.

You will design pipelines, evolve data models, and collaborate with analytics, product, and engineering teams to deliver reliable, cost-aware data solutions in an asynchronous, remote environment.

Qualifications

• Senior-level experience in data engineering or a closely related discipline.
• Strong SQL skills and proficiency with data transformation or pipeline tooling.
• Experience designing data models and warehouse or lakehouse structures.
• Familiarity with cloud data platforms and workflow orchestration systems.
• Comfort working remotely in an asynchronous environment.

Responsibilities

• Design and build reliable data pipelines that move and transform data at scale.
• Define and evolve the data architecture, including schemas and modeling approach.
• Ensure data quality, lineage, and reliability across pipeline stages.
• Partner with analytics, product, and engineering stakeholders on data needs.
• Optimize pipeline performance, monitoring, and operational cost.

Skills

Senior data engineering

SQL skills

Data modeling

Cloud data platforms

Workflow orchestration

Remote work

Job description

Role overview

A senior data engineering role centered on data pipelines and data architecture. The position is remote and full-time, with responsibility for shaping how data is ingested, transformed, modeled, and consumed across the organization.

Responsibilities

• Design and build reliable data pipelines that move and transform data at scale
• Define and evolve the data architecture, including schemas and modeling approach
• Ensure data quality, lineage, and reliability across pipeline stages
• Partner with analytics, product, and engineering stakeholders on data needs
• Optimize pipeline performance, monitoring, and operational cost

Requirements

• Senior-level experience in data engineering or a closely related discipline
• Strong SQL skills and proficiency with data transformation or pipeline tooling
• Experience designing data models and warehouse or lakehouse structures
• Familiarity with cloud data platforms and workflow orchestration systems
• Comfort working remotely in an asynchronous environment

Nice to have

• Exposure to streaming data architectures and real-time processing
• Experience with data governance, cataloging, or access management practices