Staff Data Engineer (Remote - US) - job 2 of 5

This position is posted by Jobgether on behalf of Peerspace. We are currently looking for a Staff Data Engineer in the United States.

This is a strategic and high-impact role at the intersection of architecture, leadership, and data engineering. You will play a pivotal part in designing scalable data platforms, defining best practices, and enabling technical excellence across engineering teams. With the autonomy to shape data systems and mentor peers, you'll be key to improving data literacy, reliability, and infrastructure for long-term business success. The role offers a fast-paced environment focused on growth, collaboration, and innovation.

Accountabilities:

• Architect and evolve scalable, cloud-based data infrastructure using tools such as BigQuery, DBT, and Segment.
• Set organization-wide standards for data modeling, transformation, and governance.
• Collaborate with engineering, product, and analytics teams to ensure high-quality, structured, and reliable data.
• Tackle complex technical challenges like platform bottlenecks, cost optimization, and data governance frameworks.
• Evaluate and integrate emerging data technologies to address evolving business needs.
• Act as a mentor and technical guide for engineers across the company, leading workshops, authoring design documents, and promoting best practices.

• 8–12+ years of experience in data engineering or software engineering, with deep architectural expertise.
• Advanced proficiency in cloud-based data platforms, preferably GCP/BigQuery.
• Strong command of data modeling and transformation frameworks (e.g., DBT).
• Experience with large-scale data collection and event streaming platforms (e.g., Segment).
• Demonstrated leadership across teams and large-scale projects without direct authority.
• Proven ability to drive technical consensus and long-term data strategies.
• Strong collaboration skills with senior stakeholders across engineering, analytics, and product.
• Strategic thinker with a history of solving complex problems and enabling scalable systems.

• Annual salary range: $170,000 to $185,000, with final compensation based on experience and skills.
• Equity compensation.
• 100% coverage of medical, dental, and vision insurance for employees.
• $500 annual professional development budget.
• Monthly cell phone and internet credits.
• Laptop, high-res display, and home office setup stipend.
• Optional coworking membership in place of home office.
• Employee discount on bookings.
• Flexible, take-it-as-you-need-it time off policy.
• Wellness Fridays and annual team-building retreats.
• Remote-first company with global team presence.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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