W2 Data Engineer EST Hours Airflow , dbt and Google Cloud Platform skills along with python and SqL

Notes from Manager:

As a Junior Data Engineer on the Economics team, you will combine data
science, economics, and blockchain expertise to shape incentives, optimize network
design, and influence the decision-making of our Economics and Executive
Leadership teams. You will design, analyze, and operationalize economic models for
production applications. You will collaborate across departments to bring innovative
solutions from concept to production, ensuring technical and economic soundness
and throughout.
This is a high-impact role, offering visibility and influence as you contribute to
the development of the network. If you re a meticulous, creative, and
motivated individual ready to solve complex economic problems through data-
driven decisions in the rapidly evolving world of Web3, this is the role for you.
Your Impact
You will serve two primary functions:
(1) designing, building, and maintaining scalable data pipelines and infrastructure to help the Economics and Executive Leadership teams make informed, data-driven decisions, and
(2) building and maintaining production economics applications.
You will work on a wide array of blockchain economics projects, analyses, and
systems, including:
Designing novel mechanisms and incentive schemes
Building data pipelines, models, and simulations to evaluate
investment opportunities
Designing and parameterizing economics systems Optimizing parameters for production applications
Contributing to the design of Economics programs and applications
You will optimize network incentives and systems by engaging directly with
the Economics, Product, Engineering, Research, and Data Science teams to
understand network dynamics at the deepest level.
You will meticulously operationalize processes, and coordinate cross-
functionally to implement them.
This is both a highly technical and highly social role. You will have high
visibility and a large impact on how Chainlink builds the world s first fully
sustainable decentralized oracle network.
Requirements
A deep understanding of financial and crypto markets and incentives
Strong foundation in Computer Science principles, including data structures,
algorithms, and complexity analysis
Experience with data infrastructure design and implementation in cloud
platforms (e.g., Google Cloud Platform, AWS, Azure)
Experience with production-grade software engineering concepts (e.g. git,
testing, containerization, CI/CD, infrastructure as code)
Strong SQL and Python skills are mandatory
Substantial data analysis and/or data science experience
Meticulous attention to detail.