Job Description

Role Description The Senior Data Engineer role is a part-time, remote position responsible for designing, building, and maintaining robust data pipelines and infrastructures. In this role, the Senior Data Engineer will develop and optimize ETL processes, implement data models, and manage data warehousing solutions to support analytics and reporting. Daily tasks include collaborating with stakeholders to understand data requirements, ensuring data quality and reliability, and improving performance of existing data workflows. The Senior Data Engineer will also work closely with analytics and business teams to enable data-driven decision-making through well-structured, accessible data assets.

Qualifications

Candidates should possess strong Data Engineering skills, including experience with modern data platforms and pipeline orchestration tools.
Candidates should possess Data Modeling and Data Warehousing skills to design scalable, efficient schemas and storage solutions.
Candidates should possess Extract Transform Load (ETL) and Data Analytics skills to build, optimize, and validate data flows for reporting and insights.
Candidates should possess proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
Candidates should possess experience with cloud data environments (e.g., AWS, Azure, or GCP) and relevant data services or frameworks.
Candidates should possess strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote, part-time setting.
A bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience, is beneficial.
Experience collaborating with cross-functional teams and communicating technical concepts to non-technical stakeholders is an advantage.