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Data Engineer

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Crunchbase
Full Time position
Listed on 2025-12-15
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Engineer

Overview

Join to apply for the Staff Data Engineer role at Crunchbase
.

Crunchbase is 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.

We are committed to fostering a positive, diverse, and inclusive culture by hiring for potential and embracing individuals with diverse perspectives, backgrounds, experiences, and skill sets. We value transparency and openness, believing that an inclusive environment strengthens our teams and enhances our products.

Crunchbase has a remote-first approach and is open to hiring in residents of the following states:
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington, and Maine. Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!

About the Role

As a Staff Data Engineer, you will be responsible for designing, implementing, and maintaining 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.

What You ll Do
  • 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 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.
What We're Looking For
  • 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 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 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.
What Crunchbase Offers
  • 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…
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