Data Engineer

Staff Data Engineer

Join our team  are a predictive solution that provides intelligence on private companies, powered by live private company data, AI, and market activity from over 80 million users. We predict private market movements that matter to help investors, deal makers, and analysts make the right decisions.

As a Staff Data Engineer, you will design, implement, and maintain the data systems that enable our teams to build and ship data-driven products. You will collaborate closely with cross‑functional teams, tackle challenging data engineering tasks, and help us build robust and efficient data solutions tailored to our company’s unique needs.

• Technical Leadership:
  Design and evolve the core components of our data platform. Own complex initiatives end‑to‑end, guide architectural decisions, and ensure scalable, efficient solutions aligned with business goals.
• Model‑Ready Data Architecture:
  Architect data structures and pipelines optimized for advanced analytics, machine learning, and generative AI workloads. Enable reliable, interpretable data for models and downstream consumers.
• Cross‑Functional Impact:
  Partner closely with engineering, product, and analytics teams to deliver seamless data integrations and support decision‑making across the organization.
• Performance Optimization:
  Continuously improve data storage, processing, and retrieval to deliver a fast, resilient data experience. Diagnose and resolve performance bottlenecks proactively.
• Innovation & Tooling:
  Stay current with emerging technologies and evaluate new approaches that strengthen our data ecosystem and developer productivity.
• Data Quality & Governance:
  Build and maintain robust data quality checks and contribute to strong governance standards that ensure trustworthy, well‑managed data.
• Mentorship & Culture:
  Coach and uplift other engineers, promoting a collaborative environment rooted in technical excellence and continuous learning.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in data engineering, with a focus on building scalable data solutions.
• Strong proficiency in Python and SQL.
• Strong experience with data pipelines, ETL processes, and data warehousing.
• Strong background in developing end‑to‑end solutions in a production environment.
• Preferred: hands‑on experience with streaming data systems (Kafka in particular), and with setting up and using databases such as Postgres, Elasticsearch, and Redis.
• Demonstrated leadership skills with the ability to guide and mentor team members.
• Experience with cloud platforms (e.g., AWS, Azure, GCP, Snowflake) is a plus.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with CI/CD tools and practices. Experience with Codex or other agentic/AI‑assisted development tools is a plus.
• Demonstrated curiosity and comfort using AI tools to enhance productivity and creativity.
• Ability to identify when and how to use AI responsibly while maintaining data privacy and accuracy.

Salary range: $210,000 – $235,000. Equity in the form of stock options on top of that as part of the total compensation package.

At Crunchbase, we’re building a culture where talented people can grow, innovate, and make an impact. We invest in our team so everyone has the support, tools, and trust to do meaningful work and thrive — personally and professionally.

• Competitive compensation and equity — rewarding you for your contributions and ownership mindset.
• Remote‑first flexibility — work primarily from home within our list of approved states, with opportunities for in‑person collaboration.
• Comprehensive health benefits for you and your family, including medical, dental, and vision coverage (PPO, HDHP, and HMO options).
• Continuous learning support through generous reimbursement for professional development and skills growth.
• 401(k) and Roth plans with an annual financial adviser check‑in to help you plan your future.
• Wellness resources — including a monthly stipend to support physical and mental health.
• Work‑from‑home enablement — internet…