What are the responsibilities and job description for the Python/Airflow Data Engineer position at Mitchell Martin?
Title: Data Engineer – Python/Airflow
Location: Hybrid within the Southern Region
Description:
As a Data Engineer, you will be part of a vibrant engineering community that values diversity, collaboration, and innovation. In this role, you will develop and optimize data pipelines, work on cross-functional projects, and contribute to the platform’s roadmap. This position is ideal for someone who is passionate about solving complex technical challenges, mentoring others, and continuously learning in a dynamic environment.
Responsibilities:
Collaborate across teams to lead and execute technical initiatives.
Write production-quality applications and infrastructure code.
Design and implement scalable data solutions using Python and Airflow.
Lead technical projects that span systems and teams.
Advocate for product enhancements based on user feedback and data insights.
Contribute to the success of cloud and open-source products.
Mentor team members and foster a culture of continuous improvement.
Engage with the open-source community to cultivate a thriving ecosystem.
Required Skills:
7 years of software engineering experience.
Proficiency in Python, with experience writing production-quality code.
Extensive experience with Airflow and deploying it at scale.
Expertise in building or utilizing ETL tools.
Strong desire to collaborate directly with data producers and consumers.
Excellent communication skills and a passion for continuous learning.
Desired Skills:
Proficiency with Kubernetes and Helm.
Experience in UNIX/Linux environments, including scripting and system maintenance.
Strong knowledge of cloud platforms, preferably AWS.
Employment Type:
Full-Time
Compensation:
Pay range: $117600-$168000/year
Benefits:
A comprehensive benefits package is offered; reach out to your dev.naik@itmmi.com to find out more
EEO Statement
Learn more about our EEO policy here.
#LI-DN1
Location: Hybrid within the Southern Region
Description:
As a Data Engineer, you will be part of a vibrant engineering community that values diversity, collaboration, and innovation. In this role, you will develop and optimize data pipelines, work on cross-functional projects, and contribute to the platform’s roadmap. This position is ideal for someone who is passionate about solving complex technical challenges, mentoring others, and continuously learning in a dynamic environment.
Responsibilities:
Collaborate across teams to lead and execute technical initiatives.
Write production-quality applications and infrastructure code.
Design and implement scalable data solutions using Python and Airflow.
Lead technical projects that span systems and teams.
Advocate for product enhancements based on user feedback and data insights.
Contribute to the success of cloud and open-source products.
Mentor team members and foster a culture of continuous improvement.
Engage with the open-source community to cultivate a thriving ecosystem.
Required Skills:
7 years of software engineering experience.
Proficiency in Python, with experience writing production-quality code.
Extensive experience with Airflow and deploying it at scale.
Expertise in building or utilizing ETL tools.
Strong desire to collaborate directly with data producers and consumers.
Excellent communication skills and a passion for continuous learning.
Desired Skills:
Proficiency with Kubernetes and Helm.
Experience in UNIX/Linux environments, including scripting and system maintenance.
Strong knowledge of cloud platforms, preferably AWS.
Employment Type:
Full-Time
Compensation:
Pay range: $117600-$168000/year
Benefits:
A comprehensive benefits package is offered; reach out to your dev.naik@itmmi.com to find out more
EEO Statement
Learn more about our EEO policy here.
#LI-DN1
Salary : $117,600 - $168,000
