Data Engineer/Analyst

Braiins

United States

Remote

USD 90,000 - 130,000

Full time

14 days+
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Job summary

Braiins is seeking a Data Engineer/Analyst to strengthen data infrastructure and pipelines in a cryptocurrency context. You will design and optimize data domains, ensuring data integrity across systems and enabling analytics and product development.

You will implement and refine data integration processes, improve existing infrastructure, and ensure reliable, scalable data operations. Proficiency with SQL, Airbyte, Airflow, and PostgreSQL is essential to drive incremental enhancements and

Qualifications

  • Strong SQL and data pipeline experience.
  • Experience supporting analytics and product development.
  • Ability to collaborate with cross-functional teams.

Responsibilities

  • Design, manage, and optimize data domains across systems to ensure data integrity.
  • Collaborate with technical and business teams to support analytics and product development.
  • Improve data integration processes and overall data infrastructure to ensure reliability.
  • Drive incremental enhancements to data solutions and data operations.

Skills

SQL
Data pipeline design
Analytics
Cross-functional collaboration

Tools

Airbyte
Airflow
PostgreSQL

Job description

Braiins seeks a Data Engineer/Analyst to enhance data infrastructure and pipelines. This role is ideal for candidates with strong SQL and data pipeline experience looking to support analytics and product development in a cryptocurrency context.

In this role, you will manage and optimize data domains, ensuring integrity across various systems. Your work will involve collaborating with both technical and business teams to maintain clean and reliable data flows that support analytics and product development.

You will also be responsible for improving data integration processes, enhancing existing data infrastructure, and ensuring system reliability. Familiarity with tools like Airbyte, Airflow, and PostgreSQL will be crucial as you work to incrementally refine data solutions and maintain efficient operations.

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