Data Engineer (Remote - US) - job 1 of 5

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

Join a high-impact data team building the foundational systems that power analytics, growth, and operational efficiency at scale. As a Data Engineer, you will architect, develop, and optimize modern data pipelines using cutting-edge tools and techniques, enabling fast, reliable access to critical business insights. This is a strategic role with visibility across teams, offering the chance to shape internal data infrastructure while collaborating with key stakeholders and leadership. You’ll work in an environment that embraces innovation, values proactive problem-solving, and leverages its own data products daily.

Accountabilities:

• Design, build, and maintain robust and scalable data pipelines using modern tooling, including dbt.
• Establish and uphold standards to ensure data quality, consistency, and reliability throughout the internal data ecosystem.
• Optimize data performance, reduce compute costs, and ensure low-latency access to key datasets.
• Continuously improve existing infrastructure by identifying and addressing technical debt and performance bottlenecks.
• Collaborate with analysts, engineers, and business stakeholders to gather data requirements and deliver reliable solutions.
• Automate workflows to increase data freshness, streamline lineage tracking, and enhance monitoring capabilities.
• Provide valuable product feedback by actively testing and applying the company’s own infrastructure and AI tools internally.

• 2+ years of experience in data engineering and at least 4 years total in software engineering-related roles.
• Strong expertise in SQL and Python, with additional experience in at least one of Scala, Java, or Rust.
• Familiarity with orchestration tools such as Airflow, Dagster, or Prefect.
• Demonstrated ability to act with urgency, focus, and effective prioritization.
• Excellent communication and cross-functional collaboration skills.
• A plus if you have experience developing and scaling dbt projects, working in high-growth tech or SaaS environments, or using open table formats like Apache Iceberg.

• Competitive salary:
• $118,000–$143,100 (standard range)
• $131,000–$159,000 in select cities (e.g., Boston, NYC, SF, Seattle, etc.)
• Equity packages and performance-based pay
• Unlimited vacation with an actively supportive time-off culture
• 401(k) with 3% guaranteed company contribution
• Comprehensive health, dental, and vision insurance
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Internet & Phone
• Learning & Development
• Office Space (if needed)
• Fully remote hiring process

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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