Data Engineer

Data
Mid-Level Software Engineer
Remote
3+ years of experience

Description For Data Engineer

Murmuration is seeking a Data Engineer to join their Research Division. This is a full-time, remote position based in the United States. The ideal candidate is a problem-solver passionate about using data and technology to drive social impact.

Key qualifications include:

  • Education in Computer Science, Computer Engineering, or a relevant field
  • Minimum 3 years of experience in data engineering or related field
  • Proficiency in Python, Docker, and container orchestration tools
  • Familiarity with data orchestration tools (e.g., Dagster, Airflow), ELT processes (e.g., dbt), analytic databases (e.g., Snowflake), and cloud infrastructure (e.g., AWS)
  • Understanding of CI/CD pipelines and automation tools
  • Experience working in small, flexible teams
  • Strong communication skills

The role requires curiosity and adaptability to new technologies. Knowledge of the software development lifecycle is essential. Experience with or interest in political data and voter file data is a plus. The position may involve providing technical support to other data functions such as Data Scientists and Data Managers.

Murmuration values continuous learning and seeks candidates who can thrive in a dynamic, evolving technical environment. This role offers an opportunity to contribute to impactful projects using cutting-edge data engineering technologies.

Last updated 5 months ago

Requirements For Data Engineer

Python
  • Problem-solver with a passion for using data and technology to drive social impact
  • Education and/or experience in Computer Science, Computer Engineering, or relevant field
  • Minimum of three (3) years of relevant experience in data engineering or a related field
  • Curiosity and a drive to continuously learn and adapt to new technologies and challenges
  • Familiarity with data orchestration tools (e.g., Dagster, Airflow) and ELT processes (e.g., dbt)
  • Familiarity with analytic databases (e.g., Snowflake) and cloud infrastructure (e.g., AWS)
  • Experience working flexibly within smaller teams
  • Practical knowledge of software development lifecycle (SDLC)
  • Proficiency in Python, Docker, and container orchestration tools
  • Understanding of CI/CD pipelines and automation tools
  • Strong written and verbal communication skills

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