Staff Data Engineer

MaintainX; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible time off

Training and development

Equity opportunities

Healthcare coverage

Job summary

MaintainX is seeking a Staff Data Engineer to join our growing data platform team. You will shape architecture across infrastructure, Databricks, streaming, data products, and governance.

You will mentor senior engineers, define platform standards, drive cross‑team initiatives, and influence roadmaps by framing trade-offs and aligning engineering, product, and analytics.

Qualifications

• Strong Python and dbt skills.
• 9+ years of experience as a data engineer in a modern, production-grade cloud data platform.
• Experience navigating organizational complexity and aligning stakeholders.

Responsibilities

• Shape architecture across the full data platform: infrastructure, Databricks, streaming, data products, and governance.
• Proactively identify and resolve cross-cutting technical challenges across multiple teams.
• Define and evolve platform-wide standards, patterns, and abstractions.

Skills

Python

dbt

Data engineering

Cloud platforms

Leadership

Stakeholder management

Tools

Terraform

Databricks

Kafka

Flink

Debezium

Job description

• We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines, developer experience, and data governance.
• We are looking for someone who can exercise meaningful technical leadership across all of it. You will not just deliver solutions; you will frame complex, ambiguous problems, define standards and architectural direction, and ensure teams can make better decisions and deliver more effectively for our stakeholders through your influence and judgment
• Shape the technical direction and architecture of the data platform across its full surface area: infrastructure, Databricks, streaming, data products, and governance
• Proactively identify and drive resolution of cross-cutting technical challenges before they become delivery blockers, working across multiple data engineering teams and both internal and customer-facing projects
• Define and evolve platform-wide standards, patterns, and abstractions adopted across teams
• Influence roadmap priorities by framing trade-offs, surfacing opportunities, and driving alignment across engineering, product, and analytics
• Drive adoption of changes across teams, not just their delivery
• Mentor and elevate senior engineers through complex problems and architectural decisions
• Navigate ambiguity and lead complex, multi-squad initiatives with minimal direction

Benefits

• Flexible time off
• Training and development investments
• Competitive salary and equity opportunities
• Comprehensive healthcare coverage

Experience making architectural decisions with long-term, multi-year consequencesStrong technical judgment balanced with pragmatism: knows when to advocate for the right solution and when to move forwardTrack record of cross-team impact: changing how multiple teams build, decide, or deliverStrong Python and dbt skills9+ years of experience as a data engineer in a modern, production-grade cloud data platformExperience navigating organizational complexity and aligning stakeholdersDemonstrated ability to frame ambiguous technical problems and drive them to resolution with minimal guidanceMeaningful exposure across several of the platform’s key domains: IaC infrastructure (Terraform/Atmos), CDC streaming (Kafka, Flink, Debezium), Databricks operations, data governance, batch and streaming pipelines, developer experienceKnowledge of compliance and regulatory frameworks (ex: GDPR, CCPA, SOC2, FedRAMP) and how to translate them into platform controlsExperience designing golden paths and self-service tooling for engineering teams