Staff Data Engineer, Data Platform

About Jobgether

Jobgether is a platform that connects job seekers with opportunities in a fast-growing SaaS environment.

Job Summary

This role offers the opportunity to lead and shape the evolution of a modern data platform. As a Staff Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and a data lakehouse.

Key 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.

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.

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 environment.