Staff Data Engineer, Data Platform

Jobgether

1d•$200 - $235•Remote

About The Position

This role offers the opportunity to lead and shape the evolution of a modern data platform in a fast-growing SaaS environment. As a Staff Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and a data lakehouse that enables broad access for BI, machine learning, and engineering teams. You will collaborate across teams to support analytics use cases, migrate and modernize the data stack, and mentor other engineers to drive best practices. This position is ideal for an experienced engineer passionate about data architecture, distributed systems, and building production-grade solutions that empower decision-making and business growth. Your contributions will directly impact the companyâs ability to leverage data effectively at scale.

Requirements

8+ years of professional experience in Data Engineering, including modern data stack expertise.
2+ years in a Staff or Lead engineering role with proven project leadership.
5+ years writing production-grade code, preferably in Go; familiarity with JVM languages (Java, Scala, Kotlin).
Hands-on experience with modern data lakehouse technologies, including Iceberg, Hudi, or Delta Lake.
Strong experience building and operating stream processing pipelines with Apache Spark and/or Flink.
Expertise in AWS cloud architecture and a broad array of database technologies (Postgres, OLAP, NoSQL, etc.).
Experience with event-driven distributed systems and remote startup environments.
Excellent communication, project management, and cross-team collaboration skills.
Proven track record of career growth, promotions, or leadership impact in prior roles.
Experience in SaaS startups, ideally in growth-stage companies with 200+ employees and venture backing.

Responsibilities

Own, design, and evolve the data platform, architecture, and tooling to meet analytics and product needs.
Lead the delivery of a modern data lakehouse architecture, including prerequisite stream and batch data pipelines.
Collaborate with Engineering, Product, and BI teams to enable new analytics use cases and migrations.
Support and optimize existing data engineering systems for reliability and performance.
Mentor and coach junior data engineers and backend engineers on best practices in data engineering.
Ensure high-quality data availability and accessibility for BI, ML, and analytics teams.
Establish standards for data modeling, ingestion, and processing across the organization.

Benefits

Competitive base salary ($200-235k) plus significant equity participation.
Flexible work-from-home or remote arrangements.
Opportunity to lead and shape a high-impact data platform in a fast-growing startup.
Professional growth and mentorship opportunities within a collaborative team.
Comprehensive healthcare coverage (health, dental, vision).
Generous paid time off and flexible leave policies.
Engaging and innovative company culture with strong focus on learning and impact.

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